Triple
T10753568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorel-Tracy |
E253631
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sorel |
E779126
|
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: Sorel | Statement: [Sorel-Tracy, hasPart, Sorel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorel Context triple: [Sorel-Tracy, hasPart, Sorel]
-
A.
Sorel
Sorel is a footwear and outerwear brand best known for its durable, stylish winter boots and cold-weather gear.
-
B.
Sorel
Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
-
C.
Sorel
chosen
Sorel is a city in southwestern Quebec, Canada, known historically as an important St. Lawrence River port and industrial center.
-
D.
La Tuque
La Tuque is a city in the Mauricie region of Quebec, Canada, known for its vast forested territory and outdoor recreational activities.
-
E.
Portneuf
Portneuf is a regional county municipality in the Capitale-Nationale region of Quebec, Canada, known for its rural landscapes, small towns, and outdoor recreational activities.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc2543c8190bb060aa7a1fed6a6 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.