Triple
T27315982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnes-Mares |
E689348
|
entity |
| Predicate | countryAppellationSystem |
P192972
|
FINISHED |
| Object | Appellation d’Origine Contrôlée |
—
|
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: Appellation d’Origine Contrôlée | Statement: [Bonnes-Mares, countryAppellationSystem, Appellation d’Origine Contrôlée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAppellationSystem Context triple: [Bonnes-Mares, countryAppellationSystem, Appellation d’Origine Contrôlée]
-
A.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
B.
administrativeDivisionOfDemonym
Indicates that a term is the demonym (name for residents) associated with a particular administrative division (such as a state, province, or region).
-
C.
countryDenoted
Indicates that one entity is a name, code, or symbol that specifically refers to or designates a particular country.
-
D.
countryLabel
Indicates the name or label of the country associated with an entity.
-
E.
countryOfNamingTradition
Indicates the country whose cultural or linguistic naming conventions are used to form or interpret a given name.
- 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 27, 2026, 11:30 a.m.