Triple
T4572947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays d’Oc IGP |
E123075
|
entity |
| Predicate | introducedAsIGP |
P57790
|
FINISHED |
| Object | after 2009 EU wine reform |
—
|
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: after 2009 EU wine reform | Statement: [Pays d’Oc IGP, introducedAsIGP, after 2009 EU wine reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsIGP Context triple: [Pays d’Oc IGP, introducedAsIGP, after 2009 EU wine reform]
-
A.
introducedVia
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
B.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
C.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
D.
introducedFor
Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
-
E.
introducedAlongWith
Indicates that one entity was introduced or presented at the same time as another entity, as part of a joint or concurrent introduction.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:10 p.m.