Triple
T15181347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gattières |
E362750
|
entity |
| Predicate | nearbyCommune |
P3883
|
FINISHED |
| Object | La Gaude |
E362743
|
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: La Gaude | Statement: [Gattières, nearbyCommune, La Gaude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Gaude Context triple: [Gattières, nearbyCommune, La Gaude]
-
A.
La Gaude
chosen
La Gaude is a small picturesque commune in southeastern France, situated in the hills above the French Riviera near Nice.
-
B.
Ronda de Dalt
Ronda de Dalt is a major ring road in the Barcelona metropolitan area that helps divert and distribute traffic around the city.
-
C.
Peyrins
Peyrins is a small commune in southeastern France’s Drôme department, known for its rural character and proximity to the town of Romans-sur-Isère.
-
D.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
E.
Luchon
Luchon is a renowned spa and mountain resort town in the French Pyrenees, famous for its thermal baths and outdoor activities.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.