Triple

T6154375
Position Surface form Disambiguated ID Type / Status
Subject Keio fare system E137282 entity
Predicate appliesTo P1129 FINISHED
Object Keio New Line E170255 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: Keio New Line | Statement: [Keio fare system, appliesTo, Keio New Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio New Line
Context triple: [Keio fare system, appliesTo, Keio New Line]
  • A. Keio New Line chosen
    Keio New Line is a commuter railway line in Tokyo, Japan, operated by Keio Corporation as part of the Keio network serving western suburbs of the city.
  • B. Kashio Seisakujo
    Kashio Seisakujo was the original small Japanese manufacturing workshop founded by the Kashio brothers that evolved into the global electronics company Casio.
  • C. Showa University
    Showa University is a private Japanese university known for its strong focus on medical and health sciences education and research.
  • D. Kaisei Academy
    Kaisei Academy is a prestigious Japanese boys' secondary school in Tokyo known for its rigorous academics and history of producing many prominent political and intellectual leaders.
  • E. Aoyama Gakuin University
    Aoyama Gakuin University is a private Christian university in Tokyo known for its strong humanities, social sciences, and business programs and its central urban campus atmosphere.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cffc7bc819092633a9e5f1abe2f completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418195d8819092743f323430b9a8 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:17 p.m.