Triple

T12422925
Position Surface form Disambiguated ID Type / Status
Subject Osaka City Hall E296821 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: [Osaka City Hall, locatedIn, Kita-ku, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-ku, Osaka
Context triple: [Osaka City Hall, 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75464d85c8190a4c27f22cfd7dc96 completed May 3, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:55 p.m.