Triple

T10914549
Position Surface form Disambiguated ID Type / Status
Subject Hiroshima Port E257785 entity
Predicate locatedIn P40 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 Port, locatedIn, Hiroshima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiroshima City
Context triple: [Hiroshima Port, locatedIn, 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. Higashihiroshima
    Higashihiroshima is a city in Hiroshima Prefecture, Japan, known as an academic hub and regional center that hosts major institutions such as Hiroshima University.
  • D. Hiroshima metropolitan area
    The Hiroshima metropolitan area is the urban and economic region centered on the city of Hiroshima in western Honshu, Japan, encompassing its surrounding cities and suburbs.
  • E. Hadano City
    Hadano City is a municipality in Kanagawa Prefecture, Japan, known for its natural scenery, including views of Mount Ōyama and surrounding mountainous landscapes.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77073d12881908ea59771b84bc804 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6e88e508190a1bcd90cc67cbbbf completed April 18, 2026, 8:17 p.m.
Created at: April 8, 2026, 9:22 p.m.