Triple
T4718833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aveyron |
E104712
|
entity |
| Predicate | specialtyFood |
P17971
|
FINISHED |
| Object | Roquefort cheese |
E162264
|
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: Roquefort cheese | Statement: [Aveyron, specialtyFood, Roquefort cheese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roquefort cheese Context triple: [Aveyron, specialtyFood, Roquefort cheese]
-
A.
Roquefort
chosen
Roquefort is a famous French blue cheese made from sheep's milk and aged in the natural caves of Roquefort-sur-Soulzon.
-
B.
Mont d'Or cheese
Mont d'Or cheese is a soft, rich, washed-rind cow’s milk cheese from the Jura region of France, traditionally sold in a spruce-wood box and eaten warm and spoonable.
-
C.
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.
-
D.
Laguiole cheese
Laguiole cheese is a traditional French cow's milk cheese from the Aubrac region, known for its firm, uncooked pressed texture and protected designation of origin (AOP).
-
E.
Comté cheese
Comté cheese is a traditional French cow’s milk cheese from the Jura region, known for its firm texture, complex nutty flavor, and long aging process.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642779a08190b01e588d515cf498 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39f7316c8190a6ecd65b707d3fbe |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:18 p.m.