Triple
T6663614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainte-Foy-de-Montgommery |
E151538
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Sainte-Foyens |
E151538
|
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: Sainte-Foyens | Statement: [Sainte-Foy-de-Montgommery, hasDemonym, Sainte-Foyens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Foyens Context triple: [Sainte-Foy-de-Montgommery, hasDemonym, Sainte-Foyens]
-
A.
Sainte-Foy-la-Grande
Sainte-Foy-la-Grande is a small historic town in southwestern France, known for its medieval architecture and location along the Dordogne River.
-
B.
Saint-Fons
Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
-
C.
Sainte-Foy-de-Montgommery
chosen
Sainte-Foy-de-Montgommery is a small commune in the Calvados department of Normandy in northwestern France.
-
D.
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.
-
E.
Valdigne
Valdigne is an alpine valley in Italy’s Aosta Valley region, known as the upper Dora Baltea basin and including renowned mountain resorts such as Courmayeur.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09a6fa88190ba8e454b9ad421a0 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0c1fc081909e37296958a04572 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.