Triple
T16236892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casamigos Mezcal (Joven) |
E394137
|
entity |
| Predicate | smokeSource |
P55553
|
FINISHED |
| Object | wood-fired ovens |
—
|
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: wood-fired ovens | Statement: [Casamigos Mezcal (Joven), smokeSource, wood-fired ovens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokeSource Context triple: [Casamigos Mezcal (Joven), smokeSource, wood-fired ovens]
-
A.
smokeImpact
Indicates the effect or influence that smoke has on a target entity or condition.
-
B.
smokeSystem
Indicates that an entity is equipped with or associated with a smoke-generating system (e.g., for signaling, testing, or special effects).
-
C.
smokePurpose
Indicates that the action or event of smoking is carried out with a particular purpose, goal, or intended function.
-
D.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
E.
smokingMaterial
chosen
Indicates that one entity is a material or substance used for smoking by another 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455bb23881909c4cb4c1439d2bc5 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.