Triple
T23351286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prasville |
E592917
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Beauce |
—
|
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: Beauce | Statement: [Prasville, locatedIn, Beauce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauce Context triple: [Prasville, locatedIn, Beauce]
-
A.
Beauce
chosen
Beauce is a fertile agricultural plain in north-central France, often called the country’s “granary” for its extensive cereal production.
-
B.
Beauce
Beauce is a federal electoral district in Quebec, Canada, known for its conservative-leaning rural communities and long history of electing right-of-center representatives.
-
C.
Beauséjour region
The Beauséjour region is an Acadian area in southeastern New Brunswick known for its French-speaking communities, cultural heritage, and coastal landscapes.
-
D.
Tête Jaune Cache region
The Tête Jaune Cache region is a small rural area in east-central British Columbia known historically as a fur-trading and transportation hub near the Rocky Mountains and the Fraser River.
-
E.
Charlevoix region
The Charlevoix region is a picturesque area of Quebec, Canada, known for its dramatic St. Lawrence River landscapes, mountainous terrain, and historic rural communities.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1401748190b77df0a45c2aeebf |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.