Triple
T16063069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTL buses |
E389661
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Saint-Lambert |
E687690
|
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: Saint-Lambert | Statement: [RTL buses, serves, Saint-Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Lambert Context triple: [RTL buses, serves, Saint-Lambert]
-
A.
Saint-Lambert
Saint-Lambert is a suburban city located on the south shore of the Saint Lawrence River opposite Montreal, known for its residential character and proximity to the metropolitan area.
-
B.
Saint-Lambert-de-Lauzon
Saint-Lambert-de-Lauzon is a suburban municipality located south of Quebec City in the Chaudière-Appalaches region of Quebec, Canada.
-
C.
Senneville
Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
-
D.
Limoilou
Limoilou is a primarily residential neighborhood in Quebec City, Canada, known for its dense urban fabric, vibrant local commerce, and historic working-class character.
-
E.
Saint-Lambert, Quebec
chosen
Saint-Lambert, Quebec is a suburban city on the south shore of the Saint Lawrence River near Montreal, known for its residential character, green spaces, and commuter access to the metropolitan area.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837a04108190b5a1dbbe2063039e |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00179fc28481909e1c46af343676ff |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 4:57 a.m.