Triple
T4572948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays d’Oc IGP |
E123075
|
entity |
| Predicate | previousEUCategory |
P30139
|
FINISHED |
| Object | table wine with geographical indication |
—
|
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: table wine with geographical indication | Statement: [Pays d’Oc IGP, previousEUCategory, table wine with geographical indication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousEUCategory Context triple: [Pays d’Oc IGP, previousEUCategory, table wine with geographical indication]
-
A.
previousClassification
Indicates that one classification precedes another in time or in an ordered sequence of classifications.
-
B.
previousHome
Indicates that one entity served as a former or prior residence or home of another entity.
-
C.
formerCategory
chosen
Indicates that an entity previously belonged to a given category but no longer does.
-
D.
previousCircuit
Indicates that one circuit occurs or is positioned immediately before another circuit in a defined sequence or ordering.
-
E.
successorCategory
Indicates that one category directly follows or replaces another in an ordered sequence or hierarchy.
- F. None of above.
Provenance (3 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. |
Created at: March 20, 2026, 1:10 p.m.