Triple
T12317170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fermín festival |
E293630
|
entity |
| Predicate | encierroFrequency |
P7407
|
FINISHED |
| Object | daily during the 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: daily during the festival | Statement: [San Fermín festival, encierroFrequency, daily during the festival]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encierroFrequency Context triple: [San Fermín festival, encierroFrequency, daily during the festival]
-
A.
carnivalFrequency
Indicates how often a carnival event occurs within a given time period.
-
B.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
C.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or time period.
-
D.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
E.
tienePeriodicidad
chosen
Indicates that something occurs, recurs, or is scheduled with a specific regular frequency or periodic pattern.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.