Triple
T11454323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brie |
E271484
|
entity |
| Predicate | cheeseRipeningStyle |
P99652
|
FINISHED |
| Object | surface-ripened cheese with white rind |
—
|
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: surface-ripened cheese with white rind | Statement: [Brie, cheeseRipeningStyle, surface-ripened cheese with white rind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cheeseRipeningStyle Context triple: [Brie, cheeseRipeningStyle, surface-ripened cheese with white rind]
-
A.
cheeseType
Indicates that one entity is a specific type or variety of cheese in relation to another entity.
-
B.
cheeseMadeFrom
Indicates that one entity is produced or derived as cheese from another entity (typically a source ingredient such as milk).
-
C.
traditionalCheese
Indicates that something is recognized as a cheese made according to established, customary, or historically rooted methods or styles.
-
D.
cheeseProtectedDesignation
Indicates that a cheese has an officially recognized protected designation (such as PDO/PGI), linking it to specific geographic origin and production standards.
-
E.
isMeltingCheese
Indicates that one entity is causing cheese to transition from a solid to a softened or liquid state through heating or similar means.
- F. None of above. chosen
Provenance (4 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69d80867ff248190bb157fa9e355353b |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:35 p.m.