Triple

T7567148
Position Surface form Disambiguated ID Type / Status
Subject Keio railway network E178944 entity
Predicate hasLine P35 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 railway network, hasLine, Keio New Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keio New Line
Context triple: [Keio railway network, hasLine, 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. Ochanomizu
    Ochanomizu is a central Tokyo district known for its universities, musical instrument shops, and historic temples along the Kanda River.
  • D. Showa University
    Showa University is a private Japanese university known for its strong focus on medical and health sciences education and research.
  • E. 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.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f91c717881909c88901cc3b101c7 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e0c23481908fc59ecc318840ba completed March 28, 2026, 10:32 p.m.
Created at: March 27, 2026, 3:50 p.m.