Triple
T3811030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annemasse |
E93133
|
entity |
| Predicate | hasRailConnectionTo |
P848
|
FINISHED |
| Object | Evian-les-Bains |
E78937
|
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: Evian-les-Bains | Statement: [Annemasse, hasRailConnectionTo, Evian-les-Bains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evian-les-Bains Context triple: [Annemasse, hasRailConnectionTo, Evian-les-Bains]
-
A.
Évian-les-Bains
chosen
Évian-les-Bains is a French spa and resort town in the Alps renowned worldwide for its mineral water and scenic lakeside setting.
-
B.
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.
-
C.
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.
-
D.
Enghien-les-Bains
Enghien-les-Bains is a spa and resort town in the northern suburbs of Paris, France, known for its thermal baths and lakeside casino.
-
E.
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.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee80faaa88190b05f8aec8aa5c44d |
completed | March 9, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c2db6a481909ebc822a1d3f831f |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:16 p.m.