Triple

T17627463
Position Surface form Disambiguated ID Type / Status
Subject Lötschberg railway line E429884 entity
Predicate connects P390 FINISHED
Object Valais 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: Valais | Statement: [Lötschberg railway line, connects, Valais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valais
Context triple: [Lötschberg railway line, connects, Valais]
  • A. Valais chosen
    Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Illanun
    Illanun is an alternative name for the Iranun, a seafaring Austronesian ethnic group from the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
  • D. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • E. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dbe3a308190a818d04f1a9b15f7 completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.