Triple
T30071860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reguengos DOC |
E764204
|
entity |
| Predicate | typicalProfileRed |
P41733
|
FINISHED |
| Object | full-bodied |
—
|
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: full-bodied | Statement: [Reguengos DOC, typicalProfileRed, full-bodied]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProfileRed Context triple: [Reguengos DOC, typicalProfileRed, full-bodied]
-
A.
typicalRedProfile
Indicates that an entity exhibits a characteristic or standard pattern commonly associated with the color red.
-
B.
typicalProfile
chosen
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
C.
typicalRedStyle
Indicates that something exhibits the characteristic or customary style associated with the color red.
-
D.
typicalRedStyleDescriptor
Indicates that something is described as having the characteristic or stylistic qualities typically associated with the color red.
-
E.
typicalStyleRed
Indicates that something commonly or characteristically has a red style or appearance.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a034af7066c81908719bff353d77b16 |
completed | May 12, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_6a034a2fc2308190b0b8fbd458a39323 |
completed | May 12, 2026, 3:41 p.m. |
Created at: April 29, 2026, 7:01 p.m.