Triple

T19463157
Position Surface form Disambiguated ID Type / Status
Subject Karasuma Line E486924 entity
Predicate system P730 FINISHED
Object Kyoto Municipal Subway — NE NERFINISHED

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: [Karasuma Line, system, Kyoto Municipal Subway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyoto Municipal Subway
Context triple: [Karasuma Line, system, 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 (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633cf95988190b13b2153e67d0cac completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.