Triple

T15203327
Position Surface form Disambiguated ID Type / Status
Subject Eifukuchō Station E363320 entity
Predicate ward P21208 FINISHED
Object Suginami 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 | Statement: [Eifukuchō Station, ward, Suginami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suginami
Context triple: [Eifukuchō Station, ward, 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. Toshima
    Toshima is a small, sparsely populated volcanic island and village in Tokyo’s Izu Islands, known for its natural scenery and traditional rural lifestyle.
  • D. Osawa
    Osawa is a Japanese surname and place name that serves as an alternative spelling of "Ozawa."
  • E. 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.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
Created at: April 10, 2026, 3:10 a.m.