Triple
T7749988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French D900 |
E175730
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Col de Larche |
E33037
|
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: Col de Larche | Statement: [French D900, connectsTo, Col de Larche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Col de Larche Context triple: [French D900, connectsTo, Col de Larche]
-
A.
Col de Larche
chosen
Col de Larche is a high mountain pass in the Alps that connects southeastern France and northwestern Italy, serving as an important transalpine route.
-
B.
Col de la Seigne
Col de la Seigne is a high alpine pass on the border between France and Italy, known as a key crossing point on the popular Tour du Mont Blanc trekking route.
-
C.
Col de la Givrine
Col de la Givrine is a mountain pass in the Jura Mountains of western Switzerland, known for its scenic landscapes and cross-country skiing and hiking routes.
-
D.
Col de la Faucille
Col de la Faucille is a high mountain pass in the French Jura that serves as a key crossing point between the Lake Geneva region and the interior of France.
-
E.
Col de Vars
Col de Vars is a high mountain pass in the French Alps, popular with cyclists and motorists for its scenic route linking the Ubaye and Queyras valleys.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b13af08190b110104fe96ef91e |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e581d4e881908c88d55364a5e014 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:08 p.m.