Triple
T12787753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bron |
E305674
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Vénissieux |
E523678
|
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: Vénissieux | Statement: [Bron, adjacentTo, Vénissieux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vénissieux Context triple: [Bron, adjacentTo, Vénissieux]
-
A.
Vénissieux
chosen
Vénissieux is a suburban commune in eastern France that forms part of the urban area of Lyon and is known for its industrial heritage and diverse population.
-
B.
Villefranche-sur-Saône
Villefranche-sur-Saône is a commune in eastern France that serves as the principal town of the Beaujolais region and a key urban center north of Lyon.
-
C.
Bourg-en-Bresse
Bourg-en-Bresse is a historic town in eastern France known as the capital of the Ain department, noted for its Renaissance architecture and the royal monastery of Brou.
-
D.
Écully
Écully is a suburban commune in eastern France, located just west of Lyon and known for hosting prestigious institutions such as the École Centrale de Lyon and the Paul Bocuse Institute.
-
E.
Chalon-sur-Saône
Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5dbdb88190a1b06721ada51627 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739688734819092b14bd3edacd4ef |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 9, 2026, 5:29 p.m.