Triple
T14643853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pézenas |
E343792
|
entity |
| Predicate | hasTraditionalSpecialty |
P17971
|
FINISHED |
| Object | petit pâté de Pézenas |
—
|
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: petit pâté de Pézenas | Statement: [Pézenas, hasTraditionalSpecialty, petit pâté de Pézenas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalSpecialty Context triple: [Pézenas, hasTraditionalSpecialty, petit pâté de Pézenas]
-
A.
hasTraditionIn
Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
-
B.
hasSpecialtyFood
chosen
Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
-
C.
isTraditionOf
Indicates that something is a customary practice, belief, or ritual associated with or belonging to a particular group, culture, or context.
-
D.
traditionallyOneOf
Indicates that something is customarily or historically considered to belong to a specific set, category, or group.
-
E.
traditionallyKnownFor
Indicates that something is widely and historically recognized or reputed for a particular characteristic, activity, product, or role.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ea6d8481908e6331ca173c646b |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.