Triple

T14266969
Position Surface form Disambiguated ID Type / Status
Subject Umeda Station E353671 entity
Predicate locatedIn P40 FINISHED
Object Kita-ku, Osaka E403985 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: Kita-ku, Osaka | Statement: [Umeda Station, locatedIn, Kita-ku, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-ku, Osaka
Context triple: [Umeda Station, locatedIn, Kita-ku, Osaka]
  • A. Kita-ku, Osaka chosen
    Kita-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and transportation hub that includes the bustling Umeda district.
  • B. 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.
  • C. Ikuno-ku, Osaka
    Ikuno-ku, Osaka is a residential ward in Osaka City known for its significant Korean community, dense urban neighborhoods, and convenient access to central Osaka via multiple rail and metro lines.
  • 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. Taisho-ku, Osaka
    Taisho-ku, Osaka is one of Osaka City's 24 wards, known for its port-side location, strong Okinawan community, and mix of residential and industrial 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe967e9c208190a00a82122b8c884c completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:09 a.m.