Triple
T18467730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gex canton |
E451207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Farges (Ain) |
—
|
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: Farges (Ain) | Statement: [Gex canton, contains, Farges (Ain)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farges (Ain) Context triple: [Gex canton, contains, Farges (Ain)]
-
A.
Farges
chosen
Farges is a small commune in eastern France, located in the Ain department near the Swiss border in the Auvergne-Rhône-Alpes region.
-
B.
Fargues
Fargues is a commune in the Sauternes wine-growing region of southwestern France, renowned for its prestigious sweet white wines.
-
C.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
D.
Forges-les-Eaux
Forges-les-Eaux is a spa town in northern France known historically for its mineral springs and therapeutic baths.
-
E.
La Frette-sur-Seine
La Frette-sur-Seine is a small suburban commune in the northwestern outskirts of Paris, situated along the Seine River in the Val-d'Oise department of France.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.