Triple
T32234699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGill Drug Store Museum |
E823435
|
entity |
| Predicate | closedAsPharmacy |
P121990
|
FINISHED |
| Object | 1979 |
—
|
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: 1979 | Statement: [McGill Drug Store Museum, closedAsPharmacy, 1979]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedAsPharmacy Context triple: [McGill Drug Store Museum, closedAsPharmacy, 1979]
-
A.
closedAsStore
chosen
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
B.
closingLocation
Indicates the place or venue where an event, process, or activity comes to an end or is formally concluded.
-
C.
closedFor
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
D.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
E.
closedAsHotel
Indicates that an establishment ceased operating in general and specifically stopped functioning as a hotel.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 1, 2026, 12:39 a.m.