Triple

T4913256
Position Surface form Disambiguated ID Type / Status
Subject Vallorcine E110284 entity
Predicate hasRailConnectionTo P848 FINISHED
Object Martigny E152398 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: Martigny | Statement: [Vallorcine, hasRailConnectionTo, Martigny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martigny
Context triple: [Vallorcine, hasRailConnectionTo, Martigny]
  • A. Martigny chosen
    Martigny is a historic town in southwestern Switzerland known as a cultural and transportation hub in the canton of Valais, near the Great St. Bernard Pass.
  • 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. Satigny
    Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
  • D. Delémont
    Delémont is a historic town in northwestern Switzerland that serves as the capital of the canton of Jura.
  • E. Cartigny
    Cartigny is a small rural municipality in western Switzerland known for its agricultural landscape and location within the canton of Geneva.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9dc41481908c0c398852e6819c completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a1ef488190ac9cc34e67a8b243 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.