Triple
T20102817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwerte |
E496588
|
entity |
| Predicate | hasTownTwinning |
P919
|
FINISHED |
| Object | Cavaillon |
—
|
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: Cavaillon | Statement: [Schwerte, hasTownTwinning, Cavaillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavaillon Context triple: [Schwerte, hasTownTwinning, 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.
Couzeix
Couzeix is a commune in west-central France, located in the Haute-Vienne department of the Nouvelle-Aquitaine region near the city of Limoges.
-
C.
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.
-
D.
Crolles
Crolles is a commune in southeastern France known for its high-tech industry and scenic location in the Isère department near the Alps.
-
E.
Bouzigues
Bouzigues is a small French Mediterranean village in the Hérault department, renowned for its oyster and mussel farming and picturesque waterfront.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.