Triple

T3014244
Position Surface form Disambiguated ID Type / Status
Subject Naniwa-ku E82297 entity
Predicate knownFor P22 FINISHED
Object Namba area E162524 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: Namba area | Statement: [Naniwa-ku, knownFor, Namba area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namba area
Context triple: [Naniwa-ku, knownFor, Namba area]
  • A. Namba commercial district
    Namba commercial district is a major shopping, entertainment, and nightlife hub in Osaka, Japan, known for its bustling streets, neon signage, and dense concentration of stores, restaurants, and theaters.
  • B. Namba district chosen
    Namba district is a major entertainment and shopping area in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic landmarks.
  • C. Aoyama area
    The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
  • D. Hanzōmon area
    The Hanzōmon area is a central Tokyo district near the Imperial Palace, known for its government offices, media companies, and relatively quiet, upscale residential atmosphere.
  • E. Hongo district
    Hongo district is a historic and academic neighborhood in Tokyo’s Bunkyō ward, known for institutions like the University of Tokyo and its traditional residential character.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a69e8148190a97507740c9d26a8 completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e67e2f88190aa7046e93f3e4126 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.