Triple
T32126410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buñol |
E820512
|
entity |
| Predicate | festivalAttractsTouristsFrom |
P145491
|
FINISHED |
| Object | Spain |
—
|
NE NERFINISHED |
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: Spain | Statement: [Buñol, festivalAttractsTouristsFrom, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalAttractsTouristsFrom Context triple: [Buñol, festivalAttractsTouristsFrom, Spain]
-
A.
festivalAttractsVisitorsFrom
chosen
Indicates that a festival draws or brings in visitors originating from a particular place or region.
-
B.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
-
C.
alsoAttractsTouristsIn
Indicates that a place, in addition to another, draws or appeals to tourists within a specified location or context.
-
D.
tourismEvent
Indicates an event or activity that is organized for or significantly involves tourism, attracting visitors for leisure, cultural, or recreational purposes.
-
E.
isMajorTourismEventFor
Indicates that an event is a primary or highly significant attraction for tourism in relation to a particular place or entity.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96c2f0881908d14683ecfe1af4b |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.