Triple
T18490149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abitibi |
E451796
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Val-d'Or |
—
|
NE NERFINISHED |
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: Val-d'Or | Statement: [Abitibi, hasCity, Val-d'Or]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val-d'Or Context triple: [Abitibi, hasCity, Val-d'Or]
-
A.
Val-d'Or
chosen
Val-d'Or is a mining city in western Quebec, Canada, known for its significant gold deposits and role in the region's resource-based economy.
-
B.
Rouyn-Noranda
Rouyn-Noranda is a city in western Quebec, Canada, known historically as a mining and industrial center in the Abitibi-Témiscamingue region.
-
C.
Rimouski
Rimouski is a city in eastern Quebec, Canada, located along the south shore of the Saint Lawrence River and known as a regional center for education, research, and maritime activities.
-
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.
La Tuque
La Tuque is a city in the Mauricie region of Quebec, Canada, known for its vast forested territory and outdoor recreational activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531db64b8819089f638718dddb1dc |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.