Triple
T19510031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Fons |
E488123
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Saint-Foniarde |
—
|
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: Saint-Foniarde | Statement: [Saint-Fons, hasDemonym, Saint-Foniarde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Foniarde Context triple: [Saint-Fons, hasDemonym, Saint-Foniarde]
-
A.
Saint-Fons
chosen
Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
-
B.
Saint-Fréjoux
Saint-Fréjoux is a small French commune located in the Corrèze department in south-central France.
-
C.
La Roche-sur-Foron
La Roche-sur-Foron is a small historic town in the Haute-Savoie department of southeastern France, situated in the Arve Valley between Annecy and Geneva.
-
D.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
E.
Saint-Romphaire
Saint-Romphaire is a small commune in the Manche department of northwestern France, known for its rural character and traditional Norman countryside.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.