Triple

T2413879
Position Surface form Disambiguated ID Type / Status
Subject Banpaku-kinen-koen Station E52257 entity
Predicate railwayOperator P5620 FINISHED
Object Osaka Monorail E40878 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: Osaka Monorail | Statement: [Banpaku-kinen-koen Station, railwayOperator, Osaka Monorail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Monorail
Context triple: [Banpaku-kinen-koen Station, railwayOperator, Osaka Monorail]
  • A. Osaka Monorail chosen
    Osaka Monorail is a straddle-beam monorail system in Osaka Prefecture, Japan, serving as a major urban transit line linking key suburbs, commercial areas, and transport hubs.
  • B. Tokyo Monorail
    Tokyo Monorail is an urban transit line in Tokyo that provides rapid rail service between central Tokyo and Haneda Airport.
  • C. Tama Monorail
    Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
  • D. Okinawa Urban Monorail
    Okinawa Urban Monorail is an elevated rail transit system serving the city of Naha and surrounding areas on Japan’s Okinawa Island.
  • E. Osaka Loop Line
    The Osaka Loop Line is a circular railway line in Osaka, Japan, operated by JR West, that connects major urban and suburban districts around the city center.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94a6458819087b8c4fe81a2d031 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f1e61308190be9604bce0be83d2 completed March 12, 2026, 12:55 a.m.
Created at: March 6, 2026, 9:41 p.m.