Triple

T10149297
Position Surface form Disambiguated ID Type / Status
Subject Namba, Osaka, Japan E232588 entity
Predicate partOf P40 FINISHED
Object Chūō-ku, Osaka E260288 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: Chūō-ku, Osaka | Statement: [Namba, Osaka, Japan, partOf, Chūō-ku, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chūō-ku, Osaka
Context triple: [Namba, Osaka, Japan, partOf, Chūō-ku, Osaka]
  • A. Jōtō-ku, Osaka
    Jōtō-ku, Osaka is a residential and commercial ward in northeastern Osaka City known for its dense urban neighborhoods and convenient rail connections to central Osaka.
  • B. Chuo-ku, Osaka chosen
    Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment hub.
  • C. Minato-ku, Osaka
    Minato-ku, Osaka is a coastal ward of Osaka City known for its waterfront attractions, including major entertainment, shopping, and port facilities.
  • D. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • E. Nishi-ku, Osaka
    Nishi-ku, Osaka is a central ward of Osaka City known for its mix of commercial districts, residential areas, and major venues such as the Kyocera Dome.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3699166dc81908643c52879405718 completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 9:08 p.m.