Triple
T1954709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lachine Hospital |
E42238
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Lachine |
E110597
|
NE 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: Lachine | Statement: [Lachine Hospital, serves, Lachine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lachine Context triple: [Lachine Hospital, serves, Lachine]
-
A.
Lachine
chosen
Lachine is a borough of Montreal, Quebec, known for its historic canal, waterfront, and role as an early fur trade and industrial hub.
-
B.
Dollard-des-Ormeaux
Dollard-des-Ormeaux is a suburban city in the West Island area of Montreal, Quebec, known primarily as a residential community.
-
C.
Rivière des Prairies
Rivière des Prairies is a channel of the Saint Lawrence River that separates the Island of Montreal from Île Jésus in southwestern Quebec, Canada.
-
D.
Argenteuil
Argenteuil is a suburban commune in the northwestern outskirts of Paris, France, known historically as an industrial center and as a subject of Impressionist painters.
-
E.
Mont-Royal
Mont-Royal is a prominent hill and urban park in Montreal, Quebec, known for its panoramic city views and central role in the city's identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb353aa8c81909810347f9981a02f |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae031a46d481908a6e0d78bfa9c66f |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.