Triple
T18882257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feria d’Alès |
E461858
|
entity |
| Predicate | hasFoodAspect |
P68068
|
FINISHED |
| Object | street food stalls |
—
|
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: street food stalls | Statement: [Feria d’Alès, hasFoodAspect, street food stalls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFoodAspect Context triple: [Feria d’Alès, hasFoodAspect, street food stalls]
-
A.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
B.
hasFoodOption
chosen
Indicates that an entity offers, provides, or includes a particular type of food or dining option.
-
C.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
D.
isEatenFor
Indicates that one entity is consumed as food for the benefit, nourishment, or use of another entity.
-
E.
likesFood
Indicates that an entity has a positive preference for or enjoyment of a particular food.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d2028481908af2b1560312e26c |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:57 a.m.