Triple
T15307455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singen |
E365939
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Cavaillon |
E180346
|
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: Cavaillon | Statement: [Singen, hasTwinTown, Cavaillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavaillon Context triple: [Singen, hasTwinTown, Cavaillon]
-
A.
Cavaillon
chosen
Cavaillon is a town in southeastern France’s Vaucluse department, known for its melon production and location at the foot of the Luberon massif.
-
B.
Saint-Just-d’Ardèche
Saint-Just-d’Ardèche is a small commune in the Ardèche department of southern France, known for its scenic location along the Rhône River and proximity to the Ardèche Gorges.
-
C.
Bouzigues
Bouzigues is a small French Mediterranean village in the Hérault department, renowned for its oyster and mussel farming and picturesque waterfront.
-
D.
Moûtiers
Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
-
E.
Chiroubles
Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb593258081909dcaf2b37fd28e63 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 3:16 a.m.