Triple

T15512485
Position Surface form Disambiguated ID Type / Status
Subject Takaido Station E368745 entity
Predicate locatedIn P40 FINISHED
Object Suginami, 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: Suginami, Tokyo | Statement: [Takaido Station, locatedIn, Suginami, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suginami, Tokyo
Context triple: [Takaido Station, locatedIn, Suginami, Tokyo]
  • A. Suginami, Tokyo chosen
    Suginami, Tokyo is a residential ward in western Tokyo known for its concentration of anime studios, local shopping streets, and quieter suburban character compared to central Tokyo.
  • B. Toshima, Tokyo
    Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
  • C. Itabashi, Tokyo
    Itabashi, Tokyo is one of Tokyo's 23 special wards, located in the northwestern part of the metropolis and known as a primarily residential and commercial area.
  • D. Setagaya, Tokyo
    Setagaya, Tokyo is a large residential ward in western Tokyo known for its suburban character, family-friendly neighborhoods, and numerous parks and temples.
  • E. Kōtō, Tokyo
    Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
Created at: April 10, 2026, 4 a.m.