Triple
T27893294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haro, La Rioja, Spain |
E705415
|
entity |
| Predicate | wineFestivalHonours |
P163752
|
FINISHED |
| Object | Saint Peter |
—
|
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: Saint Peter | Statement: [Haro, La Rioja, Spain, wineFestivalHonours, Saint Peter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wineFestivalHonours Context triple: [Haro, La Rioja, Spain, wineFestivalHonours, Saint Peter]
-
A.
wineFestivalHeldOn
Indicates that a wine festival event takes place on a specific date or day.
-
B.
typeOfWineFestival
Indicates the specific kind or category of wine festival associated with an event or entity.
-
C.
notableWine
Indicates that a wine is recognized as significant, distinguished, or noteworthy in some context (such as quality, reputation, or historical importance).
-
D.
wineAVA
Indicates that a wine is produced within a specific American Viticultural Area (AVA) designation.
-
E.
wineTourism
Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
- 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_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 6:37 p.m.