Triple
T25336804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacaune sheep |
E635298
|
entity |
| Predicate | roleInCheesemaking |
P141538
|
FINISHED |
| Object | traditional source of Roquefort milk |
—
|
LITERAL 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: traditional source of Roquefort milk | Statement: [Lacaune sheep, roleInCheesemaking, traditional source of Roquefort milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCheesemaking Context triple: [Lacaune sheep, roleInCheesemaking, traditional source of Roquefort milk]
-
A.
roleInCheese
chosen
Indicates that an entity participates in the production, composition, or classification of a cheese with a specific functional role.
-
B.
roleInCheeseRind
Indicates the specific functional or structural role an entity plays in the formation, maintenance, or characteristics of a cheese rind.
-
C.
cheeseMadeFrom
Indicates that one entity is produced or derived as cheese from another entity (typically a source ingredient such as milk).
-
D.
cheeseType
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
E.
cheeseRipeningStyle
Indicates the method or process by which a cheese is matured or aged to develop its flavor and texture.
- F. None of above.
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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 21, 2026, 1:32 p.m.