Triple
T22039185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariñena |
E544294
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Carignane |
—
|
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: Carignane | Statement: [Cariñena, alsoKnownAs, Carignane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carignane Context triple: [Cariñena, alsoKnownAs, Carignane]
-
A.
Carignane
chosen
Carignane is a red wine grape variety, also known as Carignan or Carinyena, traditionally grown in southern France and Spain and valued for producing deeply colored, robust wines.
-
B.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
C.
Sylvanès
Sylvanès is a small rural commune in the Aveyron department of southern France, known for its historic abbey and cultural events.
-
D.
Goudargues
Goudargues is a picturesque village in southern France’s Gard department, known for its canals, riverside setting, and charming historic center.
-
E.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.