Triple
T27907902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Marne wine region |
E705838
|
entity |
| Predicate | partOfAppellation |
P194982
|
FINISHED |
| Object | Champagne AOC |
—
|
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: Champagne AOC | Statement: [Vallée de la Marne wine region, partOfAppellation, Champagne AOC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfAppellation Context triple: [Vallée de la Marne wine region, partOfAppellation, Champagne AOC]
-
A.
partOfName
Indicates that one string is a component or substring that forms part of another entity’s name.
-
B.
honorificPartOfName
Indicates that an honorific title or form of address is included as part of a person's full name.
-
C.
hasAppellation
Indicates that an entity is known, labeled, or referred to by a particular name, title, or designation.
-
D.
relatedAppellation
Indicates that one entity serves as an alternative, associated, or otherwise connected name or title for another entity.
-
E.
importantAppellation
Indicates that one entity serves as a significant or primary name, title, or designation for another entity.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: April 27, 2026, 6:47 p.m.