Triple
T2688997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fogg Art Museum |
E57551
|
entity |
| Predicate | hasResearchFacilities |
P15417
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Fogg Art Museum, hasResearchFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchFacilities Context triple: [Fogg Art Museum, hasResearchFacilities, yes]
-
A.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
-
B.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
C.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
D.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
E.
hasAcademicFacilities
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
- F. None of above.
Provenance (3 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f380d48190953529d23688a328 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.