Triple
T21317085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renens railway station |
E525498
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Echallens |
—
|
NE NERFINISHED |
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: Echallens | Statement: [Renens railway station, connectsTo, Echallens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Echallens Context triple: [Renens railway station, connectsTo, Echallens]
-
A.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
B.
Chavornay
chosen
Chavornay is a municipality in the canton of Vaud in western Switzerland, known for its rural character and location in the Orbe plain.
-
C.
Saignelégier
Saignelégier is a municipality in the Swiss canton of Jura known for its rural landscapes, watchmaking heritage, and the annual Marché-Concours horse festival.
-
D.
Champfèr
Champfèr is a small alpine village in the Upper Engadine region of the Swiss canton of Graubünden, known for its scenic lakeside setting near St. Moritz.
-
E.
La Chaux
La Chaux is a small French commune located in the Doubs department of the Bourgogne-Franche-Comté region in eastern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dd0b34481909dd6d37cf8e42144 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:34 p.m.