Triple
T6661739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thérèse Tanguay Dion |
E151491
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Charlemagne, Quebec |
E143079
|
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: Charlemagne, Quebec | Statement: [Thérèse Tanguay Dion, residence, Charlemagne, Quebec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlemagne, Quebec Context triple: [Thérèse Tanguay Dion, residence, Charlemagne, Quebec]
-
A.
Charlemagne, Quebec, Canada
chosen
Charlemagne, Quebec, Canada is a small suburb of Montreal best known as the birthplace of international pop singer Celine Dion.
-
B.
Laval
Laval is a large suburban city and island located just north of Montreal in southwestern Quebec, Canada.
-
C.
Laval
Laval is a major city in western France, located in the Mayenne department, known for its historic architecture and role as an administrative and economic center of the region.
-
D.
Bourget
Bourget is a small rural community in eastern Ontario, Canada, known for its francophone population and proximity to the Larose Forest.
-
E.
Chambly
Chambly is a city in southwestern Quebec, Canada, known for its historic Fort Chambly and location along the Richelieu River.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b097e0e481909251443f9ce0b85a |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0a0c208190ac6a309bfb2e4e4b |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.