Triple

T2791009
Position Surface form Disambiguated ID Type / Status
Subject The Three Tenors E61927 entity
Predicate performedAt P270 FINISHED
Object Yokohama, Japan E10676 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: Yokohama, Japan | Statement: [The Three Tenors, performedAt, Yokohama, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama, Japan
Context triple: [The Three Tenors, performedAt, Yokohama, Japan]
  • A. Yokohama chosen
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • B. Shizuoka City, Japan
    Shizuoka City, Japan is a coastal city in central Honshu known for its views of Mount Fuji, green tea production, and role as a regional economic and cultural center.
  • C. Yokohama city center
    Yokohama city center is the main urban and commercial hub of Yokohama, known for its modern skyline, waterfront districts, and major shopping and business areas.
  • D. Yokosuka, Kanagawa, Japan
    Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
  • E. Fujinomiya, Japan
    Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddcfe19c81908f94dd449f18a2c2 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b555ff48c48190865f0d588ec5d296 completed March 14, 2026, 12:35 p.m.
Created at: March 6, 2026, 9:58 p.m.