Triple

T8572180
Position Surface form Disambiguated ID Type / Status
Subject Nerima E202952 entity
Predicate borders P224 FINISHED
Object Itabashi E671898 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: Itabashi | Statement: [Nerima, borders, Itabashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itabashi
Context triple: [Nerima, borders, Itabashi]
  • A. Itabashi chosen
    Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
  • B. Katsushika Ward
    Katsushika Ward is a special ward in northeastern Tokyo, Japan, known for its traditional shitamachi atmosphere, residential neighborhoods, and role as a transit-connected suburb of the capital.
  • C. Chiyoda
    Chiyoda is a central special ward of Tokyo that serves as Japan’s political and administrative hub, housing the Imperial Palace, the National Diet, and many government institutions.
  • D. Chiyoda
    Chiyoda was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in World War II and was sunk during the Battle off Cape Engaño in 1944.
  • E. Nishi Ward
    Nishi Ward is one of the administrative wards of Kumamoto City in Japan, encompassing a mix of residential, commercial, and suburban areas.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10771c3288190860875ebcc12103e completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 6:21 p.m.