Triple
T4301125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balma |
E99837
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bagnères-de-Luchon |
E438915
|
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: Bagnères-de-Luchon | Statement: [Balma, hasTwinTown, Bagnères-de-Luchon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagnères-de-Luchon Context triple: [Balma, hasTwinTown, Bagnères-de-Luchon]
-
A.
Bagnères-de-Luchon
chosen
Bagnères-de-Luchon is a spa and ski resort town in the French Pyrenees, known for its thermal baths and mountain tourism.
-
B.
Mougins
Mougins is a picturesque hilltop village in southeastern France, renowned for its art scene, gastronomy, and association with many famous artists.
-
C.
Digne-les-Bains
Digne-les-Bains is a spa town in southeastern France that serves as the administrative and cultural center of the Alpes-de-Haute-Provence department.
-
D.
Valbonne
Valbonne is a picturesque village in southeastern France known for its preserved medieval old town and proximity to the technology hub of Sophia Antipolis.
-
E.
Évian-les-Bains
Évian-les-Bains is a French spa and resort town in the Alps renowned worldwide for its mineral water and scenic lakeside setting.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacc9ef8c81909ff2a16cf68844d0 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 12, 2026, 11:08 p.m.