Triple

T9078220
Position Surface form Disambiguated ID Type / Status
Subject Toshima E217543 entity
Predicate hasMajorDistrict P14817 FINISHED
Object Zoshigaya E691857 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: Zoshigaya | Statement: [Toshima, hasMajorDistrict, Zoshigaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoshigaya
Context triple: [Toshima, hasMajorDistrict, Zoshigaya]
  • A. Zoshigaya chosen
    Zoshigaya is a quiet, historic residential neighborhood in Tokyo known for its traditional atmosphere, temples, and proximity to Zoshigaya Cemetery.
  • B. Tsurugizaki
    Tsurugizaki was the original name of the Imperial Japanese Navy vessel that was later converted into and commissioned as the light aircraft carrier Shōhō during World War II.
  • C. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • D. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • E. Yonashiro
    Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d642c457f08190a79c7161ceadb869 completed April 8, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:12 p.m.