Triple
T27303263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amatitán |
E688975
|
entity |
| Predicate | isInWineOrSpiritsRegion |
P159942
|
FINISHED |
| Object | Denomination of Origin Tequila |
—
|
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: Denomination of Origin Tequila | Statement: [Amatitán, isInWineOrSpiritsRegion, Denomination of Origin Tequila]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInWineOrSpiritsRegion Context triple: [Amatitán, isInWineOrSpiritsRegion, Denomination of Origin Tequila]
-
A.
isInWineOrSpiritsRegion
chosen
Indicates that one entity (typically a location or product) is situated within or associated with a designated wine or spirits-producing region of another entity.
-
B.
includesDistilleryRegion
Indicates that one entity encompasses or contains the geographic region associated with a particular distillery.
-
C.
wineLawRegionType
Indicates the type or category of legal designation that governs wine production in a particular region.
-
D.
includesWineProvince
Indicates that one entity (typically a region or collection) contains or encompasses a specific wine-producing province within its scope.
-
E.
wineRegionCategory
Indicates a classification relationship where a wine region is assigned to a specific category or type of wine-producing area.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f627862bb8819091d51890051ddb97 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:23 a.m.