Triple
T21118789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glasgow Academy |
E520367
|
entity |
| Predicate | hasPerformingArtsFacilities |
P38275
|
FINISHED |
| Object | assembly hall |
—
|
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: assembly hall | Statement: [Glasgow Academy, hasPerformingArtsFacilities, assembly hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformingArtsFacilities Context triple: [Glasgow Academy, hasPerformingArtsFacilities, assembly hall]
-
A.
hasArtFacilities
chosen
Indicates that an entity provides or is equipped with facilities or resources dedicated to art-related activities.
-
B.
hasCulturalFacilityType
Indicates that an entity has or is associated with a specific type of cultural facility (such as a museum, theater, or gallery).
-
C.
hasPerformingArtsGroup
Indicates that an entity is associated with or hosts a performing arts group, such as a theater troupe, dance company, or musical ensemble.
-
D.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
-
E.
hasMusicFacility
Indicates that an entity provides or includes a dedicated facility or resources for music-related activities.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223176c48190bfbaea41c2209a15 |
completed | April 21, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:55 p.m.