Triple
T8092669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bléone River |
E188905
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Digne-les-Bains |
E443245
|
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: Digne-les-Bains | Statement: [Bléone River, flowsThrough, Digne-les-Bains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digne-les-Bains Context triple: [Bléone River, flowsThrough, Digne-les-Bains]
-
A.
Digne-les-Bains
chosen
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.
-
B.
Divonne-les-Bains
Divonne-les-Bains is a French spa town in eastern France near the Swiss border, known for its thermal baths, casino, and proximity to Lake Geneva.
-
C.
Thonon-les-Bains
Thonon-les-Bains is a French spa and resort town in the Haute-Savoie region, known for its lakeside setting on Lake Geneva and views of the Alps.
-
D.
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.
-
E.
Ussat-les-Bains
Ussat-les-Bains is a spa village in the Ariège department of southwestern France, known for its thermal baths and proximity to notable caves in the Pyrenees.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce38eaf93481908939e770f0dda7f5 |
completed | April 2, 2026, 9:37 a.m. |
Created at: March 30, 2026, 5:30 p.m.