Triple

T5850557
Position Surface form Disambiguated ID Type / Status
Subject Hiroshima Peace Memorial Museum E130018 entity
Predicate locatedIn P40 FINISHED
Object Hiroshima 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 | Statement: [Hiroshima Peace Memorial Museum, locatedIn, Hiroshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiroshima
Context triple: [Hiroshima Peace Memorial Museum, locatedIn, Hiroshima]
  • 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. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • D. Minamata
    Minamata is a powerful photo-essay and book by W. Eugene Smith documenting the devastating effects of industrial mercury poisoning on a Japanese fishing community.
  • E. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03515dc0c81908797a9713f1a603f completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b3c7d08190bada8ae35e7fa8eb completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.