Triple

T15204556
Position Surface form Disambiguated ID Type / Status
Subject Shinsekai entertainment district E363355 entity
Predicate near P350 FINISHED
Object Abeno area E152381 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: Abeno area | Statement: [Shinsekai entertainment district, near, Abeno area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abeno area
Context triple: [Shinsekai entertainment district, near, Abeno area]
  • A. Abeno district chosen
    Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
  • B. Yodoyabashi area
    The Yodoyabashi area is a central business and financial district in Osaka known for its historic architecture, major corporate offices, and proximity to government institutions.
  • C. Azabu area
    The Azabu area is a central Tokyo neighborhood known for its upscale residential streets, international community, embassies, and proximity to Roppongi and other major districts.
  • D. Yokokawa area
    The Yokokawa area is one of the three main temple precincts of Enryaku-ji on Mount Hiei, known for its secluded, forested setting and historic Buddhist halls.
  • E. Noborito area
    The Noborito area is a district in Kawasaki, Kanagawa Prefecture, known as a residential and commercial hub with convenient rail connections to central Tokyo.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef687bdc819090ec8a4e1af9f422 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:11 a.m.