Triple
T16987457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A16 |
E412105
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Delémont |
E161079
|
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: Delémont | Statement: [A16, passesNear, Delémont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delémont Context triple: [A16, passesNear, Delémont]
-
A.
Delémont
chosen
Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
-
B.
Céligny
Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
-
C.
Cossonay
Cossonay is a historic municipality in the canton of Vaud in western Switzerland, known for its medieval old town and scenic setting above the Venoge River valley.
-
D.
Hermance
Hermance is a small lakeside municipality on the shores of Lake Geneva in southwestern Switzerland.
-
E.
Collombey-Muraz
Collombey-Muraz is a municipality in the canton of Valais in southwestern Switzerland, known for its industrial facilities and location in the Rhône valley near Monthey.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ed3c5c8190b9d3662378ead04c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:32 a.m.