Triple
T3508877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melun |
E74146
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Brie de Melun cheese |
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 de Melun cheese | Statement: [Melun, notableProduct, Brie de Melun cheese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brie de Melun cheese Context triple: [Melun, notableProduct, Brie de Melun cheese]
-
A.
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.
-
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.
Reblochon
Reblochon is a soft, washed-rind cow’s milk cheese from the French Alps, known for its creamy texture, nutty flavor, and distinctive orange rind.
-
D.
Roquefort
Roquefort is a famous French blue cheese made from sheep's milk and aged in the natural caves of Roquefort-sur-Soulzon.
-
E.
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.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e6da490819093a5f574ff0b6b00 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.