Triple

T7634939
Position Surface form Disambiguated ID Type / Status
Subject Hiroshima Castle E172851 entity
Predicate operator P179 FINISHED
Object Hiroshima City E29708 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: Hiroshima City | Statement: [Hiroshima Castle, operator, Hiroshima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiroshima City
Context triple: [Hiroshima Castle, operator, Hiroshima City]
  • A. Hiroshima chosen
    Hiroshima is a Japanese city on Honshu Island internationally known as the first place in history to be devastated by an atomic bomb during World War II.
  • B. Nagasaki
    Nagasaki is a major port city in southwestern Japan historically known as one of the two cities devastated by an American atomic bomb during World War II.
  • C. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • D. Yokkaichi
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • E. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa83fcc8190a3f0bb20cbe1b2d6 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:57 p.m.