Triple

T15204535
Position Surface form Disambiguated ID Type / Status
Subject Shinsekai entertainment district E363355 entity
Predicate locatedIn P40 FINISHED
Object Naniwa Ward NE NERFINISHED

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: Naniwa Ward | Statement: [Shinsekai entertainment district, locatedIn, Naniwa Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naniwa Ward
Context triple: [Shinsekai entertainment district, locatedIn, Naniwa Ward]
  • A. Naniwa Ward chosen
    Naniwa Ward is a central district of Osaka, Japan, known for its bustling commercial areas, entertainment districts, and historical sites.
  • B. Suminoe Ward
    Suminoe Ward is one of Osaka City's 24 wards, known for its coastal location, residential districts, and industrial and port-related facilities.
  • C. Adachi Ward
    Adachi Ward is a special ward in northern Tokyo, Japan, known for its residential neighborhoods, riverside areas, and role as a commuter hub within the Tokyo metropolitan area.
  • D. Arakawa Ward
    Arakawa Ward is a special ward in northeastern Tokyo, Japan, known for its mix of residential neighborhoods, traditional shitamachi atmosphere, and riverside areas.
  • E. Koto Ward
    Koto Ward is a special ward in eastern Tokyo, Japan, known for its waterfront areas, canals, and mix of residential, commercial, and industrial districts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
Created at: April 10, 2026, 3:11 a.m.