Triple

T21283496
Position Surface form Disambiguated ID Type / Status
Subject Keisei Ueno Station E524591 entity
Predicate locatedIn P40 FINISHED
Object Taitō, Tokyo 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: Taitō, Tokyo | Statement: [Keisei Ueno Station, locatedIn, Taitō, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taitō, Tokyo
Context triple: [Keisei Ueno Station, locatedIn, Taitō, Tokyo]
  • A. Taitō, Tokyo, Japan chosen
    Taitō is a central Tokyo ward known for its historic districts like Asakusa and Ueno, major temples and shrines, and prominent cultural attractions including Ueno Park and its museums.
  • B. Tama, Tokyo
    Tama, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and attractions such as the Sanrio Puroland theme park.
  • C. Toyokan
    Toyokan is a gallery building of the Tokyo National Museum that primarily showcases Asian art and archaeological artifacts from regions outside Japan.
  • D. 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.
  • E. Fussa, Tokyo
    Fussa, Tokyo is a city in western Tokyo Metropolis known for hosting the Yokota Air Base and having a strong U.S. military presence.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.