Triple

T20057548
Position Surface form Disambiguated ID Type / Status
Subject Fukuoka City Subway E499379 entity
Predicate hasRollingStock P1305 FINISHED
Object 3000 series NE NERFINISHED

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: 3000 series | Statement: [Fukuoka City Subway, hasRollingStock, 3000 series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3000 series
Context triple: [Fukuoka City Subway, hasRollingStock, 3000 series]
  • A. 3000 series
    The 3000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • B. 6000 series
    The 6000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • C. 7000 series
    The 7000 series is a type of electric multiple unit train used on the Nagoya Municipal Subway system in Japan.
  • D. 5000 series
    The 5000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • E. 30000-series EMU
    The 30000-series EMU is a modern electric multiple unit train used on Osaka Metro, featuring improved energy efficiency, passenger comfort, and accessibility compared to earlier rolling stock.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 3000 series
Target entity description: The 3000 series is a type of electric multiple unit train used for passenger services on the Fukuoka City Subway in Japan.
  • A. 3000 series
    The 3000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • B. 6000 series
    The 6000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • C. 7000 series
    The 7000 series is a type of electric multiple unit train used on the Nagoya Municipal Subway system in Japan.
  • D. 5000 series
    The 5000 series is a type of electric multiple unit train used for passenger services on the Nagoya Municipal Subway in Japan.
  • E. 30000-series EMU
    The 30000-series EMU is a modern electric multiple unit train used on Osaka Metro, featuring improved energy efficiency, passenger comfort, and accessibility compared to earlier rolling stock.
  • F. None of above. chosen

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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.