Triple
T3610029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinon |
E76462
|
entity |
| Predicate | minorProduction |
P49931
|
FINISHED |
| Object | rosé wines |
—
|
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: rosé wines | Statement: [Chinon, minorProduction, rosé wines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minorProduction Context triple: [Chinon, minorProduction, rosé wines]
-
A.
minorDenomination
Indicates that one entity is a smaller or subordinate unit of currency or value in relation to another entity.
-
B.
fromProduction
Indicates that something originates from, is derived from, or is produced by a particular production process, source, or facility.
-
C.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
D.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
-
E.
minorUnitName
Indicates the name assigned to a smaller or subordinate unit within a larger structured entity or system.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22b824c8190a85b36185d4957bb |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.