Triple

T6472564
Position Surface form Disambiguated ID Type / Status
Subject Keio 1000 series EMU E145989 entity
Predicate railwayCompanyHeadquartersLocation P22571 FINISHED
Object Tokyo E5560 NE FINISHED

How this triple was built (3 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: Tokyo | Statement: [Keio 1000 series EMU, railwayCompanyHeadquartersLocation, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo
Context triple: [Keio 1000 series EMU, railwayCompanyHeadquartersLocation, Tokyo]
  • A. Tokyo chosen
    Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
  • B. Tōkyō-wan
    Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Kyoto
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • E. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: railwayCompanyHeadquartersLocation
Context triple: [Keio 1000 series EMU, railwayCompanyHeadquartersLocation, Tokyo]
  • A. railwayCompany
    Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
  • B. railwayDivisionHeadquartersOf
    Indicates that one location serves as the administrative headquarters for a specified railway division.
  • C. hasRailwayHeadquarters chosen
    Indicates that a railway organization or system has its main administrative or operational headquarters located at a specified place.
  • D. railwayStationFor
    Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
  • E. railwayName
    Indicates the name assigned to a specific railway or railway line in the relationship.
  • F. None of above.

Provenance (4 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a3188488190a1b7452ede91ba5e completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c68564f0bc81909a310ec2026caa7f completed March 27, 2026, 1:25 p.m.
PD Predicate disambiguation batch_69c0673d46a08190bc8bcd29f9555fe7 completed March 22, 2026, 10:03 p.m.
Created at: March 22, 2026, 4:50 p.m.