Triple

T12018053
Position Surface form Disambiguated ID Type / Status
Subject Kyoto City Bus E286075 entity
Predicate integratedWith P2830 FINISHED
Object Kyoto Municipal Subway E54972 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: Kyoto Municipal Subway | Statement: [Kyoto City Bus, integratedWith, Kyoto Municipal Subway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto Municipal Subway
Context triple: [Kyoto City Bus, integratedWith, Kyoto Municipal Subway]
  • A. Kyoto Municipal Subway chosen
    The Kyoto Municipal Subway is an urban rapid transit system serving Kyoto, Japan, providing key north–south and east–west rail connections across the city.
  • B. Osaka Metro
    Osaka Metro is the rapid transit network serving Japan’s city of Osaka and its surrounding urban area.
  • C. Nagoya Municipal Subway
    Nagoya Municipal Subway is the rapid transit system serving the city of Nagoya, Japan, forming the core of its urban public transportation network.
  • D. Kobe Municipal Subway
    The Kobe Municipal Subway is an urban rapid transit system serving the city of Kobe, Japan, connecting key commercial, residential, and waterfront areas.
  • E. Tokyo Metro Namboku Line
    The Tokyo Metro Namboku Line is a north–south subway line in Tokyo operated by Tokyo Metro, known for its deep underground stations and through-services to other railway lines.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b2e59e88190b58fdf9d9643aef9 completed May 9, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:47 p.m.