Triple
T10934679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maintenon |
E258298
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Beauce |
E271483
|
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: Beauce | Statement: [Maintenon, historicalRegion, Beauce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauce Context triple: [Maintenon, historicalRegion, 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.
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.
-
D.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
-
E.
Beauharnois‑Salaberry
Beauharnois‑Salaberry is a regional county municipality in southwestern Quebec, Canada, known for its communities along the Saint Lawrence River and its mix of agricultural and industrial areas.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770aee178819082c1671a37ff7d82 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bee9b208190aee8f938dff3f234 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.