Triple

T8307855
Position Surface form Disambiguated ID Type / Status
Subject Hiroshima University E194507 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 University, locatedIn, Hiroshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiroshima
Context triple: [Hiroshima University, 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. 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. Daigo
    Daigo was the era name (nengō) in Japanese history corresponding to the reign of Emperor Daigo in the early 10th century.
  • E. 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.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2a86bc81909749c40c640aa9f8 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde772559c819080f411802bbcfef1 completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:54 p.m.