Triple

T7978034
Position Surface form Disambiguated ID Type / Status
Subject なんばマルイ E185495 entity
Predicate 所在地 P40 FINISHED
Object 大阪市中央区 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: 大阪市中央区 | Statement: [なんばマルイ, 所在地, 大阪市中央区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大阪市中央区
Context triple: [なんばマルイ, 所在地, 大阪市中央区]
  • A. 大阪市港区
    大阪市港区 is one of Osaka City's 24 wards, located along Osaka Bay and known for its port facilities, aquarium, and waterfront attractions.
  • 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. 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.
  • D. 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.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.