Triple
T8771961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergerac wine region |
E208484
|
entity |
| Predicate | sweetWineProductionArea |
P51239
|
FINISHED |
| Object | Rosette |
E752256
|
NE 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: Rosette | Statement: [Bergerac wine region, sweetWineProductionArea, Rosette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosette Context triple: [Bergerac wine region, sweetWineProductionArea, Rosette]
-
A.
Rosette
chosen
Rosette is a small wine-producing appellation in the Bergerac region of southwestern France, known primarily for its sweet white wines.
-
B.
Rowetta
Rowetta is an English singer best known as the powerful-voiced female vocalist for the Madchester band Happy Mondays.
-
C.
La Rosalie
La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
-
D.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
-
E.
Monopteros
Monopteros is a small, classical-style Greek temple pavilion and popular viewpoint located on a hill within Munich’s Englischer Garten.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2c54c08190a904723d1f0527a4 |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c0125c819098deb7a54688b125 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:41 p.m.