Triple
T2803442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec |
E53997
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Trois-Rivières |
E195826
|
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: Trois-Rivières | Statement: [Quebec, hasMajorCity, Trois-Rivières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trois-Rivières Context triple: [Quebec, hasMajorCity, Trois-Rivières]
-
A.
Trois-Rivières
chosen
Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
-
B.
Lévis
Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
-
C.
Gatineau
Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
-
D.
Quebec City
Quebec City is the historic capital of the Canadian province of Quebec, renowned for its well-preserved fortified old town and rich French colonial heritage.
-
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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde1409148190a06a401185a26b64 |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3a6ce98819096379b26a6490f04 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 6, 2026, 9:59 p.m.