Triple
T28632312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée POP |
E724675
|
entity |
| Predicate | operatesExhibitionSpace |
P197842
|
FINISHED |
| Object | Old Prison of Trois-Rivières |
—
|
NE NERFINISHED |
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: Old Prison of Trois-Rivières | Statement: [Musée POP, operatesExhibitionSpace, Old Prison of Trois-Rivières]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesExhibitionSpace Context triple: [Musée POP, operatesExhibitionSpace, Old Prison of Trois-Rivières]
-
A.
exhibitionSpaceType
Indicates the specific kind or category of space used to display or present exhibitions.
-
B.
exhibitionUse
Indicates that something is used, intended, or designated for display in an exhibition or exhibit context.
-
C.
exhibitionFunction
Indicates that one entity serves as the function, role, or purpose of an exhibition associated with another entity.
-
D.
operatedGalleryIn
Indicates that an entity managed or ran an art gallery located in a specified place or context.
-
E.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
| PDg | Predicate description generation | batch_69feb3419158819082f4666077535ca9 |
completed | May 9, 2026, 4:08 a.m. |
Created at: April 28, 2026, 4:37 a.m.