Triple

T16537196
Position Surface form Disambiguated ID Type / Status
Subject Suginami E401722 entity
Predicate borderedBy P224 FINISHED
Object Nerima 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: Nerima | Statement: [Suginami, borderedBy, Nerima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nerima
Context triple: [Suginami, borderedBy, Nerima]
  • A. Nerima chosen
    Nerima is a residential ward in northwestern Tokyo known for its suburban character, parks, and role as a hub for anime production studios.
  • B. Tsuchiura
    Tsuchiura is a city in Ibaraki Prefecture, Japan, known for its location on the shores of Lake Kasumigaura and its annual national fireworks competition.
  • C. Fujinomiya
    Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of the iconic volcano.
  • D. Minamiizu
    Minamiizu is a coastal town at the southern tip of Japan’s Izu Peninsula, known for its scenic beaches, hot springs, and rugged seaside landscapes.
  • E. Tomonoura
    Tomonoura is a historic port town in Hiroshima Prefecture, Japan, known for its scenic seaside views, traditional streetscapes, and role as inspiration for various works of art and film.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34559ca948190a9eb810b9b3be079 completed April 18, 2026, 8:48 a.m.
Created at: April 10, 2026, 5:15 a.m.