Triple

T20260696
Position Surface form Disambiguated ID Type / Status
Subject Matsumoto E498824 entity
Predicate servedBy P82 FINISHED
Object Shinano Railway 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: Shinano Railway | Statement: [Matsumoto, servedBy, Shinano Railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinano Railway
Context triple: [Matsumoto, servedBy, Shinano Railway]
  • A. Shinano Railway chosen
    Shinano Railway is a regional Japanese railway company operating local passenger train services primarily within Nagano Prefecture.
  • B. Ise Railway
    Ise Railway is a Japanese railway company operating local train services in Mie Prefecture, particularly serving the Suzuka area.
  • C. Heisei Chikuho Railway
    Heisei Chikuho Railway is a Japanese private railway company operating local passenger rail services in Fukuoka Prefecture.
  • D. Ohmi Railway
    Ohmi Railway is a Japanese private railway company that operates local train services and related transportation in Shiga Prefecture.
  • E. Keifuku Electric Railroad
    Keifuku Electric Railroad is a Japanese private railway company in Kyoto best known for operating the Randen tram lines that serve popular sightseeing areas such as Arashiyama.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.