Triple
T9491084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec City public transit network |
E228888
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Lévis |
E338471
|
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: Lévis | Statement: [Quebec City public transit network, serves, Lévis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lévis Context triple: [Quebec City public transit network, serves, Lévis]
-
A.
Lévis
chosen
Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
-
B.
Trois-Rivières
Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
-
C.
Bécancour
Bécancour is a small industrial and agricultural city in the Centre-du-Québec region of Quebec, Canada, located along the south shore of the Saint Lawrence River.
-
D.
Verchères
Verchères is a riverside municipality in Quebec, Canada, located on the south shore of the Saint Lawrence River and known for its historic village and agricultural surroundings.
-
E.
Saint-Jean-sur-Richelieu
Saint-Jean-sur-Richelieu is a city in southwestern Quebec, Canada, known for its location along the Richelieu River and its annual international hot air balloon festival.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c89ec48190a2ad49394cab9c56 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
Created at: March 30, 2026, 7:56 p.m.