Triple
T453387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huazhong University of Science and Technology |
E7178
|
entity |
| Predicate | hasLaboratory |
P105
|
FINISHED |
| Object |
State Key Laboratory of Materials Processing and Die & Mould Technology
The State Key Laboratory of Materials Processing and Die & Mould Technology is a leading Chinese research center specializing in advanced materials processing, manufacturing technologies, and die and mold engineering.
|
E57605
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: State Key Laboratory of Materials Processing and Die & Mould Technology | Statement: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Materials Processing and Die & Mould Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Materials Processing and Die & Mould Technology Context triple: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Materials Processing and Die & Mould Technology]
-
A.
State Key Laboratory of Digital Manufacturing Equipment and Technology
The State Key Laboratory of Digital Manufacturing Equipment and Technology is a leading Chinese research center focused on advanced digital manufacturing technologies and high-end equipment innovation.
-
B.
State Key Laboratory of Coal Combustion
The State Key Laboratory of Coal Combustion is a leading Chinese research center focused on advanced coal combustion science, clean coal technologies, and pollution control.
-
C.
State Key Laboratory of Geological Processes and Mineral Resources
The State Key Laboratory of Geological Processes and Mineral Resources is a leading Chinese research center focused on fundamental and applied studies of geological evolution and mineral resource exploration.
-
D.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
E.
School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: State Key Laboratory of Materials Processing and Die & Mould Technology Triple: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Materials Processing and Die & Mould Technology]
Generated description
The State Key Laboratory of Materials Processing and Die & Mould Technology is a leading Chinese research center specializing in advanced materials processing, manufacturing technologies, and die and mold engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Materials Processing and Die & Mould Technology Target entity description: The State Key Laboratory of Materials Processing and Die & Mould Technology is a leading Chinese research center specializing in advanced materials processing, manufacturing technologies, and die and mold engineering.
-
A.
State Key Laboratory of Digital Manufacturing Equipment and Technology
The State Key Laboratory of Digital Manufacturing Equipment and Technology is a leading Chinese research center focused on advanced digital manufacturing technologies and high-end equipment innovation.
-
B.
State Key Laboratory of Coal Combustion
The State Key Laboratory of Coal Combustion is a leading Chinese research center focused on advanced coal combustion science, clean coal technologies, and pollution control.
-
C.
State Key Laboratory of Geological Processes and Mineral Resources
The State Key Laboratory of Geological Processes and Mineral Resources is a leading Chinese research center focused on fundamental and applied studies of geological evolution and mineral resource exploration.
-
D.
School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
-
E.
School of Mechanical Science and Engineering
The School of Mechanical Science and Engineering is a major academic unit of Huazhong University of Science and Technology specializing in mechanical engineering education and research.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef866e848190a5b700250ec56256 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a44f555b988190b3c060261dc811df |
completed | March 1, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69a450ad886081909e420a0a3d94c8fe |
completed | March 1, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4510bc2e881908c724599fc2a21c6 |
completed | March 1, 2026, 2:45 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.