Triple
T14626055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montereau-Fault-Yonne |
E343349
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object | Brie |
E271484
|
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: Brie | Statement: [Montereau-Fault-Yonne, locatedInHistoricalRegion, Brie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brie Context triple: [Montereau-Fault-Yonne, locatedInHistoricalRegion, Brie]
-
A.
Brie
chosen
Brie is a historic region in north-central France, east of Paris, best known for producing the soft cow’s milk cheese that bears its name.
-
B.
Brie de Meaux cheese
Brie de Meaux cheese is a soft, creamy, bloomy-rind French cheese from the town of Meaux, renowned as one of the classic and most celebrated varieties of Brie.
-
C.
Beaufort cheese
Beaufort cheese is a traditional firm, raw cow’s milk cheese from the French Alps, renowned for its smooth texture and rich, nutty flavor.
-
D.
Camembert cheese
Camembert cheese is a soft, creamy, surface-ripened cow’s milk cheese from France, famous for its bloomy white rind and rich, earthy flavor.
-
E.
Roquefort
Roquefort is a famous French blue cheese made from sheep's milk and aged in the natural caves of Roquefort-sur-Soulzon.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92a6b9c8190bdb220444cfbe34a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.