Triple
T9869174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Jiaotong University |
E239910
|
entity |
| Predicate | hasKeyLaboratory |
P90969
|
FINISHED |
| Object |
State Key Laboratory of Rail Transit Engineering Informatization
The State Key Laboratory of Rail Transit Engineering Informatization is a leading Chinese research center focused on advanced information technologies and intelligent systems for rail transit engineering.
|
E825963
|
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 Rail Transit Engineering Informatization | Statement: [Southwest Jiaotong University, hasKeyLaboratory, State Key Laboratory of Rail Transit Engineering Informatization]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Rail Transit Engineering Informatization Context triple: [Southwest Jiaotong University, hasKeyLaboratory, State Key Laboratory of Rail Transit Engineering Informatization]
-
A.
School of Transportation Engineering
The School of Transportation Engineering is a specialized academic unit of Tongji University focused on education and research in transportation systems, infrastructure, and related engineering fields.
-
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 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.
-
D.
CRRC Zhuzhou Institute
CRRC Zhuzhou Institute is a major Chinese research and manufacturing center specializing in rail transit equipment and technologies under the CRRC Corporation.
-
E.
School of Civil Engineering and Transportation
The School of Civil Engineering and Transportation is an academic unit of South China University of Technology specializing in education and research in civil engineering, transportation engineering, and related infrastructure fields.
- 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 Rail Transit Engineering Informatization Triple: [Southwest Jiaotong University, hasKeyLaboratory, State Key Laboratory of Rail Transit Engineering Informatization]
Generated description
The State Key Laboratory of Rail Transit Engineering Informatization is a leading Chinese research center focused on advanced information technologies and intelligent systems for rail transit engineering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Rail Transit Engineering Informatization Target entity description: The State Key Laboratory of Rail Transit Engineering Informatization is a leading Chinese research center focused on advanced information technologies and intelligent systems for rail transit engineering.
-
A.
School of Transportation Engineering
The School of Transportation Engineering is a specialized academic unit of Tongji University focused on education and research in transportation systems, infrastructure, and related engineering fields.
-
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 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.
-
D.
CRRC Zhuzhou Institute
CRRC Zhuzhou Institute is a major Chinese research and manufacturing center specializing in rail transit equipment and technologies under the CRRC Corporation.
-
E.
School of Civil Engineering and Transportation
The School of Civil Engineering and Transportation is an academic unit of South China University of Technology specializing in education and research in civil engineering, transportation engineering, and related infrastructure fields.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d498b481908f82f31f98b57c7e |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e46209988190b97aefee6cbddbad |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e531a90c8190ba18113107ce1632 |
completed | April 5, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e5ab9e588190b4007fab67b0a712 |
completed | April 5, 2026, 4:31 a.m. |
Created at: March 30, 2026, 8:36 p.m.