Triple

T15826332
Position Surface form Disambiguated ID Type / Status
Subject Chikusa-ku, Nagoya E383750 entity
Predicate borderedBy P224 FINISHED
Object Nagakute E393242 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: Nagakute | Statement: [Chikusa-ku, Nagoya, borderedBy, Nagakute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagakute
Context triple: [Chikusa-ku, Nagoya, borderedBy, Nagakute]
  • A. Nagakute chosen
    Nagakute is a city in Aichi Prefecture, Japan, known for hosting part of Expo 2005 and for its blend of suburban residential areas and cultural attractions.
  • B. Tadaoka
    Tadaoka is a small coastal town in Osaka Prefecture, Japan, known for being one of the smallest municipalities in the country by area.
  • C. Kakamigahara
    Kakamigahara is a city in Gifu Prefecture, Japan, known for its aerospace industry, manufacturing, and proximity to Nagoya.
  • D. Kunai-chō
    Kunai-chō is the Japanese term for the Imperial Household Agency, the government body responsible for matters related to Japan’s Imperial Family and imperial properties.
  • E. Azuchi
    Azuchi is a historic town in Shiga Prefecture, Japan, best known as the site of Oda Nobunaga’s former Azuchi Castle.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e60fe748190baa49c49605efd0d completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa135be84819084f7c20c2bc01b47 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.