Triple
T27998362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gioia del Colle Primitivo DOC wine |
E707076
|
entity |
| Predicate | minimumPrimitivoContent |
P165112
|
FINISHED |
| Object | majority of blend |
—
|
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: majority of blend | Statement: [Gioia del Colle Primitivo DOC wine, minimumPrimitivoContent, majority of blend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumPrimitivoContent Context triple: [Gioia del Colle Primitivo DOC wine, minimumPrimitivoContent, majority of blend]
-
A.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
B.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
C.
minimumMass
Indicates the smallest mass value that an entity or system is required, allowed, or observed to have within a given context.
-
D.
minimumFrameSize
Indicates the smallest allowable or supported size of a frame in the given context or system.
-
E.
minimality
Indicates that something has the smallest or least possible value, size, or complexity among a relevant set, such that no strictly smaller or simpler alternative satisfies the same conditions.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 7:55 p.m.