Triple

T10664750
Position Surface form Disambiguated ID Type / Status
Subject 大阪市港区 E251325 entity
Predicate borderedBy P224 FINISHED
Object 大阪市西区 E359469 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: 大阪市西区 | Statement: [大阪市港区, borderedBy, 大阪市西区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大阪市西区
Context triple: [大阪市港区, borderedBy, 大阪市西区]
  • A. 大阪市港区
    大阪市港区 is one of Osaka City's 24 wards, located along Osaka Bay and known for its port facilities, aquarium, and waterfront attractions.
  • B. Miyakojima-ku, Osaka
    Miyakojima-ku, Osaka is a central ward of Osaka City in Japan known for its dense urban neighborhoods, commercial districts, and convenient rail connections.
  • C. Abeno-ku, Osaka
    Abeno-ku, Osaka is a central ward of Osaka City known for its major commercial and transportation hub around Tennoji and Abeno Harukas, one of Japan’s tallest skyscrapers.
  • D. Yodogawa-ku, Osaka
    Yodogawa-ku, Osaka is a ward in northern Osaka City known as a major transportation hub, notably hosting Shin-Osaka Station, the city’s primary Shinkansen terminal.
  • E. Nishi-ku, Osaka chosen
    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.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31e8f5c8190ba03da312d397524 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9566e08190a92b49ce73963078 completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:08 p.m.