Triple
T16868238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annecy |
E410098
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Sainte-Thérèse |
E409132
|
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: Sainte-Thérèse | Statement: [Annecy, twinTown, Sainte-Thérèse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Thérèse Context triple: [Annecy, twinTown, Sainte-Thérèse]
-
A.
Sainte-Thérèse
chosen
Sainte-Thérèse is a town in the Laurentides region of Quebec, Canada, known for its residential character and proximity to the greater Montreal area.
-
B.
Saint-Félicien
Saint-Félicien is a small city in Quebec, Canada, known for its zoo and its location in the Saguenay–Lac-Saint-Jean region.
-
C.
St-Pierre
St-Pierre is the surname of Georges St-Pierre, the renowned Canadian mixed martial artist and former UFC champion.
-
D.
Sainte-Anne
Sainte-Anne is a coastal town on the island of Grande-Terre in Guadeloupe, known for its popular beaches and tourism.
-
E.
Saint-Bruno
Saint-Bruno is a small municipality located in the Saguenay–Lac-Saint-Jean region of Quebec, Canada, known for its rural character and proximity to the area's lakes and forests.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50a82348190b3e33fd558aa3c7f |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aba8c481908f5ff1ddc4b255cb |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.