Triple

T14064096
Position Surface form Disambiguated ID Type / Status
Subject Chūō Main Line E338417 entity
Predicate passesThrough P225 FINISHED
Object Ina Valley E737412 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: Ina Valley | Statement: [Chūō Main Line, passesThrough, Ina Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ina Valley
Context triple: [Chūō Main Line, passesThrough, Ina Valley]
  • A. Ina Valley chosen
    Ina Valley is a scenic valley region in central Japan’s Nagano Prefecture, known for its rural landscapes and views of the surrounding Japanese Alps.
  • B. Germanasca Valley
    The Germanasca Valley is a scenic alpine valley in northwestern Italy known for its rugged mountain landscapes, traditional villages, and historical Waldensian heritage.
  • C. Iraca Valley
    Iraca Valley is a high Andean valley in central Colombia, historically significant as part of the Muisca heartland and known for its fertile lands and pre-Columbian heritage.
  • D. Rioni Valley
    Rioni Valley is a river valley in western Georgia known for its fertile landscapes and the course of the Rioni River through the Caucasus region.
  • E. Vermenagna Valley
    Vermenagna Valley is an alpine valley in the Piedmont region of northwestern Italy, known for its mountain landscapes, ski resorts, and proximity to the French border.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5689c7f48190a47ca94eaa8a9ef9 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.