Triple

T7634951
Position Surface form Disambiguated ID Type / Status
Subject Hondori shopping street E172852 entity
Predicate locatedIn P40 FINISHED
Object Naka-ku, 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: Naka-ku, Hiroshima | Statement: [Hondori shopping street, locatedIn, Naka-ku, Hiroshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naka-ku, Hiroshima
Context triple: [Hondori shopping street, locatedIn, Naka-ku, Hiroshima]
  • A. Fuchū, Hiroshima
    Fuchū, Hiroshima is a city in Hiroshima Prefecture, Japan, known for its traditional craftsmanship and regional manufacturing industries.
  • 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. 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.
  • D. Hiroshima 1st district
    Hiroshima 1st district is a Japanese electoral district in Hiroshima Prefecture that elects members to the national House of Representatives.
  • 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_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_69c8b4f142c48190a63f6e25dad3d57e completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 3:57 p.m.