Triple
T32234698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGill Drug Store Museum |
E823435
|
entity |
| Predicate | openedAsPharmacy |
P190685
|
FINISHED |
| Object | 1915 |
—
|
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: 1915 | Statement: [McGill Drug Store Museum, openedAsPharmacy, 1915]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsPharmacy Context triple: [McGill Drug Store Museum, openedAsPharmacy, 1915]
-
A.
openedStore
Indicates that an entity has started operating a new store or retail location.
-
B.
openedAsRestaurant
Indicates that an entity began operating or was first established in the capacity or function of a restaurant.
-
C.
hasPharmacies
Indicates that one entity possesses, operates, or is associated with one or more pharmacies.
-
D.
openedAsDepartmentStore
Indicates that an entity began operation specifically in the capacity or role of a department store.
-
E.
opensShopTo
Indicates that one entity makes a shop accessible or available for another entity, typically by starting or unlocking its operation for them.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: May 1, 2026, 12:39 a.m.