Triple

T2825949
Position Surface form Disambiguated ID Type / Status
Subject Setagaya E54921 entity
Predicate borderedBy P224 FINISHED
Object Suginami E243639 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: Suginami | Statement: [Setagaya, borderedBy, Suginami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suginami
Context triple: [Setagaya, borderedBy, Suginami]
  • A. Suginami chosen
    Suginami is a residential ward in western Tokyo, Japan, known for its quiet neighborhoods, anime studios, and vibrant local shopping streets.
  • B. Toshima
    Toshima is a special ward in northwest Tokyo known for the major commercial and entertainment hub of Ikebukuro and its dense urban residential districts.
  • C. Shiodome
    Shiodome is a modern high-rise business and commercial district in Tokyo, Japan, known for housing major corporate headquarters, upscale hotels, and shopping complexes.
  • D. Moriguchi
    Moriguchi is a city in Japan’s Kansai region that forms part of the Osaka metropolitan area and serves as a residential and commercial hub.
  • E. Kōtō
    Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde925e688190bb390d3182f8c4f0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b66b1c9cb881908df6998f752f13d0 completed March 15, 2026, 8:17 a.m.
Created at: March 6, 2026, 9:59 p.m.