Triple
T7183643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béziers |
E167514
|
entity |
| Predicate | Feria de BéziersType |
P7504
|
FINISHED |
| Object | feria and bullfighting festival |
—
|
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: feria and bullfighting festival | Statement: [Béziers, Feria de BéziersType, feria and bullfighting festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Feria de BéziersType Context triple: [Béziers, Feria de BéziersType, feria and bullfighting festival]
-
A.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
-
B.
seCelebraEn
Indicates that an event or occasion takes place or is held at a specific location or venue.
-
C.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
D.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
E.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.