Triple
T2502842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanhu Campus |
E52505
|
entity |
| Predicate | hasAcademicFacilities |
P40186
|
FINISHED |
| Object | classroom buildings |
—
|
LITERAL FINISHED |
How this triple was built (2 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: classroom buildings | Statement: [Nanhu Campus, hasAcademicFacilities, classroom buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicFacilities Context triple: [Nanhu Campus, hasAcademicFacilities, classroom buildings]
-
A.
hasAcademicSystem
Indicates that an entity is associated with or operates under a particular academic or educational system.
-
B.
isAcademicCenter
Indicates that an entity functions as an academic center, typically serving as a hub for education, research, or scholarly activities within an institution.
-
C.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
D.
hasDoctoralPrograms
Indicates that an institution offers one or more doctoral-level academic degree programs.
-
E.
hasResearchInfrastructure
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
- F. None of above. chosen
Provenance (4 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cb4f6481908d4e0a1dc0d84d3c |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1aa13a08190a8757c017d8a2478 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:46 p.m.