Triple
T27893293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haro, La Rioja, Spain |
E705415
|
entity |
| Predicate | wineFestivalHeldOn |
P163260
|
FINISHED |
| Object | 29 June |
—
|
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: 29 June | Statement: [Haro, La Rioja, Spain, wineFestivalHeldOn, 29 June]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineFestivalHeldOn Context triple: [Haro, La Rioja, Spain, wineFestivalHeldOn, 29 June]
-
A.
typeOfWineFestival
Indicates the specific kind or category of wine festival associated with an event or entity.
-
B.
FêteDesVigneronsFrequency
Indicates how often the Fête des Vignerons event takes place over time.
-
C.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
-
D.
wineTourism
Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
-
E.
wineRoute
Indicates a route or path specifically associated with wine-related locations or activities, such as vineyards, wineries, or wine tours.
- F. None of above. chosen
Provenance (4 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f639b7b29881909191f697802f043f |
completed | May 2, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 6:37 p.m.