Triple

T1895562
Position Surface form Disambiguated ID Type / Status
Subject Tennoji Zoo E41973 entity
Predicate locatedIn P40 FINISHED
Object Tennoji-ku, Osaka E236995 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: Tennoji-ku, Osaka | Statement: [Tennoji Zoo, locatedIn, Tennoji-ku, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennoji-ku, Osaka
Context triple: [Tennoji Zoo, locatedIn, Tennoji-ku, Osaka]
  • A. Tennoji-ku, Osaka chosen
    Tennoji-ku, Osaka is a central ward of Osaka City known for its major transport hub, historic Shitenno-ji Temple, and large commercial and shopping complexes.
  • B. 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.
  • C. Umeda, Osaka
    Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
  • D. Naniwa-ku, Osaka
    Naniwa-ku, Osaka is a central ward of Osaka City known for its busy commercial districts, entertainment areas, and major transport hubs such as Namba.
  • E. Konohana-ku, Osaka
    Konohana-ku, Osaka is a ward of Osaka City in Japan known for hosting major attractions like Universal Studios Japan and its themed entertainment areas.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16d6674819084a891e3bf23bd83 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4029cfa148190baad6968cf6dad3a completed March 13, 2026, 12:27 p.m.
Created at: March 4, 2026, 7:35 p.m.