Triple

T10635214
Position Surface form Disambiguated ID Type / Status
Subject Makoto Uchida E250561 entity
Predicate workLocation P7 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: [Makoto Uchida, workLocation, Yokohama, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokohama, Japan
Context triple: [Makoto Uchida, workLocation, Yokohama, Japan]
  • A. Yokohama, Kanagawa, Japan
    Yokohama, in Kanagawa Prefecture, is Japan’s second-largest city and a major international port known for its historic role in opening Japan to foreign trade and its modern waterfront skyline.
  • B. Yokohama chosen
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • C. 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.
  • D. Mitaka, Tokyo
    Mitaka, Tokyo is a suburban city in western Tokyo known for its residential neighborhoods, cultural attractions like the Ghibli Museum, and expansive green spaces.
  • E. 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.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfac70f481908363f9ac0b651fbe completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4555e48190be39c0a7698b4282 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:03 p.m.