Triple

T2710103
Position Surface form Disambiguated ID Type / Status
Subject Hiroshi Amano E59837 entity
Predicate residence P75 FINISHED
Object Nagoya, Japan E11598 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: Nagoya, Japan | Statement: [Hiroshi Amano, residence, Nagoya, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagoya, Japan
Context triple: [Hiroshi Amano, residence, Nagoya, Japan]
  • A. Nagoya chosen
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • 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
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Kakegawa, Japan
    Kakegawa, Japan is a city in Shizuoka Prefecture known for its historic castle, green tea production, and scenic views of Mount Fuji.
  • E. Fukuroi, Japan
    Fukuroi, Japan is a city in Shizuoka Prefecture known for its agricultural production, traditional temples, and role as a regional industrial and cultural center.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda7771a4819081904bd6b818b81b completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37383fbf881909361d448de3c266b completed March 13, 2026, 2:16 a.m.
Created at: March 6, 2026, 9:55 p.m.