Triple

T12143504
Position Surface form Disambiguated ID Type / Status
Subject Chūō-ku, Osaka E289252 entity
Predicate contains P35 FINISHED
Object Hommachi E999934 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: Hommachi | Statement: [Chūō-ku, Osaka, contains, Hommachi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hommachi
Context triple: [Chūō-ku, Osaka, contains, Hommachi]
  • A. Hommachi chosen
    Hommachi is a major commercial and business district in central Osaka, Japan, known for its offices, shops, and convenient subway connections.
  • B. Futakotamagawa
    Futakotamagawa is a riverside commercial and residential district in Tokyo known for its large shopping complexes, upscale housing, and scenic Tama River views.
  • C. Ayagawa
    Ayagawa is a small town in Kagawa Prefecture on Japan’s Shikoku island, known for its rural landscapes and traditional agricultural character.
  • D. Tagawa
    Tagawa is a small inland city in Japan known historically as a coal-mining center within Fukuoka Prefecture on Kyushu Island.
  • E. Kizugawa
    Kizugawa is a city in southern Kyoto Prefecture, Japan, known for its mix of historical sites, residential areas, and growing industrial and research facilities.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249a972081909b30302865396eb1 completed May 8, 2026, 5:59 p.m.
Created at: April 8, 2026, 9:49 p.m.