Triple

T18427337
Position Surface form Disambiguated ID Type / Status
Subject Shinsaibashi-suji Shopping Street E450173 entity
Predicate hasNearbyArea P4647 FINISHED
Object Amerikamura NE NERFINISHED

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: Amerikamura | Statement: [Shinsaibashi-suji Shopping Street, hasNearbyArea, Amerikamura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amerikamura
Context triple: [Shinsaibashi-suji Shopping Street, hasNearbyArea, Amerikamura]
  • A. Amerikamura chosen
    Amerikamura is a trendy youth-oriented district in Osaka known for its American-influenced fashion, street culture, and vibrant nightlife.
  • B. Munchi
    Munchi is a Dutch music producer and DJ known for pioneering the modern moombahton sound by blending reggaeton, house, and various global bass influences.
  • C. Munchi
    Munchi is an alternative name for the Tiv language, a Southern Bantoid language spoken primarily in central Nigeria.
  • D. Amerikamura area
    Amerikamura area is a trendy youth culture and shopping district in Osaka known for its fashion boutiques, street art, and vibrant nightlife.
  • E. The American
    The American is a historical novel by Howard Fast that dramatizes the life and political struggles of labor leader William "Big Bill" Haywood in early 20th-century America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b13ee88819091e7e007d17dcc73 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:25 a.m.