Triple
T34175961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traminette |
E876672
|
entity |
| Predicate | aromaticStyleSimilarTo |
P76572
|
FINISHED |
| Object | Gewürztraminer |
—
|
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: Gewürztraminer | Statement: [Traminette, aromaticStyleSimilarTo, Gewürztraminer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aromaticStyleSimilarTo Context triple: [Traminette, aromaticStyleSimilarTo, Gewürztraminer]
-
A.
hasMusicalStyleSimilarTo
Indicates that two entities share a comparable or closely related musical style or sound.
-
B.
architecturalStyleSimilarTo
Indicates that two entities share a comparable or closely related architectural style in form, design, or aesthetic characteristics.
-
C.
styleReminiscentOf
Indicates that one entity’s style closely recalls, echoes, or is strongly influenced by the style of another entity.
-
D.
olfactoryStyle
chosen
Indicates a relationship where one entity’s characteristic way of perceiving, using, or expressing smell is associated with or attributed to another entity.
-
E.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:54 a.m.