Triple
T3782456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Metro |
E85450
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Longueuil |
E353019
|
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: Longueuil | Statement: [Montreal Metro, serves, Longueuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longueuil Context triple: [Montreal Metro, serves, Longueuil]
-
A.
Longueuil
chosen
Longueuil is a major suburb of Montreal and one of the largest cities on the south shore of the Saint Lawrence River in Quebec, Canada.
-
B.
Montréal-Ouest
Montréal-Ouest is a small, primarily residential suburban town located on the Island of Montreal in Quebec, Canada.
-
C.
Côte-Saint-Luc
Côte-Saint-Luc is a primarily residential, multicultural suburban city located on the Island of Montreal in Quebec, Canada.
-
D.
Outremont
Outremont is an affluent residential borough of Montreal, Quebec, known for its tree-lined streets, historic architecture, and significant Hasidic Jewish community.
-
E.
Estrie
Estrie is an administrative region in southeastern Quebec, Canada, known for its rolling Appalachian landscapes, lakes, and bilingual (French-English) communities.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3db11108190aa81ee8ed22709fe |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04353a881908e612a10572eb8c5 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.