Triple
T12891309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saumur-Champigny AOC |
E308370
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | town of Saumur |
E229371
|
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: town of Saumur | Statement: [Saumur-Champigny AOC, near, town of Saumur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Saumur Context triple: [Saumur-Champigny AOC, near, town of Saumur]
-
A.
Saumur
chosen
Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
-
B.
Sully-sur-Loire
Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
-
C.
Châteaubriant
Châteaubriant is a historic town in western France known for its medieval castle and role as a local administrative and cultural center.
-
D.
La Flèche
La Flèche is a historic town in western France known for its royal heritage, educational institutions, and the renowned Zoo de La Flèche.
-
E.
Baugé-en-Anjou
Baugé-en-Anjou is a commune in western France known for its historic town center and château, located in the Maine-et-Loire department of the Pays de la Loire region.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97146d2208190be5ae26e51193b67 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55be3288190b2bc0bd197431db3 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:39 p.m.