Triple
T8652496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williams Lake region |
E205132
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Quesnel |
E201194
|
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: Quesnel | Statement: [Williams Lake region, hasNearbyCity, Quesnel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quesnel Context triple: [Williams Lake region, hasNearbyCity, Quesnel]
-
A.
Quesnel
chosen
Quesnel is a small city in central British Columbia, Canada, known historically as a Cariboo Gold Rush hub and a regional center for the forestry industry.
-
B.
Vallières
Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
-
C.
Repentigny
Repentigny is a suburban city in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
-
D.
Pointe Croux
Pointe Croux is a subsidiary summit of the Aiguille Verte in the Mont Blanc massif of the French Alps, known primarily to alpinists and climbers.
-
E.
Langelier
Langelier is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving the Green Line of the city’s rapid transit system.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccd1d7f88190a5440581325eac63 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.