Triple
T8078212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancient Sculpture Gallery |
E188546
|
entity |
| Predicate | hasExhibitionCategory |
P54449
|
FINISHED |
| Object | permanent exhibition |
—
|
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: permanent exhibition | Statement: [Ancient Sculpture Gallery, hasExhibitionCategory, permanent exhibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionCategory Context triple: [Ancient Sculpture Gallery, hasExhibitionCategory, permanent exhibition]
-
A.
hasExhibitCategory
chosen
Indicates that an exhibit is associated with a particular category or type of exhibit.
-
B.
hasExhibition
Indicates that an entity organizes, hosts, or presents a particular exhibition.
-
C.
hasExhibitionScope
Indicates the thematic, geographic, temporal, or conceptual range and boundaries that define what an exhibition covers.
-
D.
hasExhibitionVenueType
Indicates the type or category of venue where an exhibition is held or presented.
-
E.
hasExhibitionModel
Indicates that one entity serves as the exhibition or display model associated with another entity.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a2b64c8190ae2b3414b4f840e4 |
completed | March 31, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:28 p.m.