Triple
T25050457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOC Bresse butter |
E627362
|
entity |
| Predicate | isTraditionalProduct |
P109890
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [AOC Bresse butter, isTraditionalProduct, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionalProduct Context triple: [AOC Bresse butter, isTraditionalProduct, true]
-
A.
isTraditionalProductOf
chosen
Indicates that something is a customary or historically established product originating from a particular place, culture, or group.
-
B.
isTraditional
Indicates that something adheres to long-established customs, practices, or norms rather than modern or innovative ones.
-
C.
isTraditionalInCountry
Indicates that something is customary, long-established, or commonly practiced within a particular country.
-
D.
isNonFoodProduct
Indicates that the referenced item is classified as a product that is not intended for consumption as food.
-
E.
isCraftProduct
Indicates that something is a product created through skilled manual craftsmanship, often in small-scale or artisanal production rather than mass manufacturing.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:09 a.m.