Triple
T3142991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirón |
E65695
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Sauternes |
E52047
|
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: Sauternes | Statement: [Cirón, flowsThrough, Sauternes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sauternes Context triple: [Cirón, flowsThrough, Sauternes]
-
A.
Sauternes
chosen
Sauternes is a renowned sweet white wine appellation in southwestern France, famous for its botrytized wines made primarily from Sémillon and Sauvignon Blanc grapes.
-
B.
Sancerre
Sancerre is a renowned French wine appellation in the Loire Valley, best known for its crisp, mineral-driven white wines.
-
C.
Barsac AOC
Barsac AOC is a renowned sweet white wine appellation in Bordeaux, France, celebrated for its botrytized dessert wines made primarily from Sémillon.
-
D.
Médoc
Médoc is a renowned wine-producing area in southwestern France, famous for its high-quality red Bordeaux wines made predominantly from Cabernet Sauvignon.
-
E.
Blaye Côtes de Bordeaux AOC
Blaye Côtes de Bordeaux AOC is a French wine appellation on Bordeaux’s Right Bank known primarily for its Merlot-based red wines and some fresh, fruity whites.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59489a88190b0962cef091f4ddb |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38babb044819098f887ac4fb0bab2 |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 8, 2026, 3:05 p.m.