Triple
T22347622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Écully |
E552434
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Dardilly |
—
|
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: Dardilly | Statement: [Écully, locatedNear, Dardilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dardilly Context triple: [Écully, locatedNear, Dardilly]
-
A.
Dardilly
chosen
Dardilly is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential character and proximity to the city of Lyon.
-
B.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
C.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
D.
Charigot
Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
-
E.
D'Arbanville
D'Arbanville is the surname of Patti D'Arbanville, an American actress and former model known for her work in film and television since the 1970s.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.