Triple

T2413834
Position Surface form Disambiguated ID Type / Status
Subject Tower of the Sun E52256 entity
Predicate locatedIn P40 FINISHED
Object Suita, Osaka Prefecture E264894 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: Suita, Osaka Prefecture | Statement: [Tower of the Sun, locatedIn, Suita, Osaka Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suita, Osaka Prefecture
Context triple: [Tower of the Sun, locatedIn, Suita, Osaka Prefecture]
  • A. Suita, Osaka chosen
    Suita, Osaka is a city in northern Osaka Prefecture, Japan, known as a major suburban and educational hub that hosts the main campus of Osaka University.
  • 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. 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.
  • D. Minato-ku, Osaka
    Minato-ku, Osaka is a coastal ward of Osaka City known for its waterfront attractions, including major entertainment, shopping, and port facilities.
  • E. 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.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94a6458819087b8c4fe81a2d031 completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b511ebd11c8190ba5a6917d3731de9 completed March 14, 2026, 7:44 a.m.
Created at: March 6, 2026, 9:41 p.m.