Triple
T453388
| 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 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.
|
E57282
|
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 Coal Combustion | Statement: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Coal Combustion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Coal Combustion Context triple: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Coal Combustion]
-
A.
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.
-
B.
State Key Laboratory of Biogeology and Environmental Geology
The State Key Laboratory of Biogeology and Environmental Geology is a leading Chinese research center focused on the interactions between biological processes, geological systems, and the environment, supporting advanced studies in areas such as paleontology, stratigraphy, and environmental change.
-
C.
School of Power and Mechanical Engineering
The School of Power and Mechanical Engineering is an academic unit of Wuhan University specializing in mechanical engineering, energy and power engineering, and related technological research and education.
-
D.
Alliance of Chinese Universities of Geosciences
The Alliance of Chinese Universities of Geosciences is a collaborative consortium of Chinese higher education institutions specializing in geoscience education and research.
-
E.
School of Water Resources and Hydropower Engineering
The School of Water Resources and Hydropower Engineering is a specialized faculty of Wuhan University focused on education and research in water resources management, hydropower engineering, and related environmental and civil engineering 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 Coal Combustion Triple: [Huazhong University of Science and Technology, hasLaboratory, State Key Laboratory of Coal Combustion]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: State Key Laboratory of Coal Combustion Target entity description: 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.
-
A.
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.
-
B.
State Key Laboratory of Biogeology and Environmental Geology
The State Key Laboratory of Biogeology and Environmental Geology is a leading Chinese research center focused on the interactions between biological processes, geological systems, and the environment, supporting advanced studies in areas such as paleontology, stratigraphy, and environmental change.
-
C.
School of Power and Mechanical Engineering
The School of Power and Mechanical Engineering is an academic unit of Wuhan University specializing in mechanical engineering, energy and power engineering, and related technological research and education.
-
D.
Alliance of Chinese Universities of Geosciences
The Alliance of Chinese Universities of Geosciences is a collaborative consortium of Chinese higher education institutions specializing in geoscience education and research.
-
E.
School of Water Resources and Hydropower Engineering
The School of Water Resources and Hydropower Engineering is a specialized faculty of Wuhan University focused on education and research in water resources management, hydropower engineering, and related environmental and civil engineering 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_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_69a44cbc3b708190ab27ce4d323472b9 |
completed | March 1, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69a44d28817481908f1783950db136bb |
completed | March 1, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a44d79b2388190b5c16e2a94abb360 |
completed | March 1, 2026, 2:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.