Triple

T7008737
Position Surface form Disambiguated ID Type / Status
Subject Namba district E162524 entity
Predicate partOf P40 FINISHED
Object Naniwa-ku, Osaka E322427 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: Naniwa-ku, Osaka | Statement: [Namba district, partOf, Naniwa-ku, Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naniwa-ku, Osaka
Context triple: [Namba district, partOf, Naniwa-ku, Osaka]
  • A. Naniwa-ku, Osaka chosen
    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.
  • B. Suminoe-ku, Osaka
    Suminoe-ku is a coastal ward in southern Osaka, Japan, known for its waterfront developments, port facilities, and artificial islands in Osaka Bay.
  • C. 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.
  • D. 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.
  • E. Nishinari-ku, Osaka
    Nishinari-ku, Osaka is a ward in southern Osaka known for its dense urban neighborhoods, working-class character, and proximity to major transit hubs and attractions like the Shinsekai area.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc38039c8190ab420d62bb11b4d9 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a311a7bc8190ba2c6f58f202365b completed March 28, 2026, 9:44 a.m.
Created at: March 27, 2026, 2:33 p.m.