Triple

T1925286
Position Surface form Disambiguated ID Type / Status
Subject Osaka–Kobe metropolitan area E40815 entity
Predicate majorCity P316 FINISHED
Object Toyonaka E24760 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: Toyonaka | Statement: [Osaka–Kobe metropolitan area, majorCity, Toyonaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toyonaka
Context triple: [Osaka–Kobe metropolitan area, majorCity, Toyonaka]
  • A. Toyonaka chosen
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • 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. Yanaka
    Yanaka is a traditional, temple-filled neighborhood in Tokyo known for its preserved old-town atmosphere, narrow lanes, and historic cemetery.
  • D. Kitano-cho
    Kitano-cho is a historic district in Kobe, Japan, known for its preserved Western-style residences built by foreign merchants in the late 19th and early 20th centuries.
  • E. Sawara-ku
    Sawara-ku is one of the wards of Fukuoka City in Japan, known for its mix of residential areas, universities, and coastal attractions along the Sea of Japan.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb260da088190ac53bfc9437e112b completed March 7, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b48810202c8190a2a8d5ae849b6d9e completed March 13, 2026, 9:56 p.m.
Created at: March 4, 2026, 7:35 p.m.