Triple

T11312680
Position Surface form Disambiguated ID Type / Status
Subject Hiroshima Prefecture E267879 entity
Predicate hasMajorCity P316 FINISHED
Object Higashihiroshima E727838 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: Higashihiroshima | Statement: [Hiroshima Prefecture, hasMajorCity, Higashihiroshima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Higashihiroshima
Context triple: [Hiroshima Prefecture, hasMajorCity, Higashihiroshima]
  • A. Higashihiroshima chosen
    Higashihiroshima is a city in Hiroshima Prefecture, Japan, known as an academic hub and regional center that hosts major institutions such as Hiroshima University.
  • B. Fuchū, Hiroshima
    Fuchū, Hiroshima is a city in Hiroshima Prefecture, Japan, known for its traditional craftsmanship and regional manufacturing industries.
  • C. Kitahiroshima
    Kitahiroshima is a city in Hokkaido, Japan, located near Sapporo and known as a residential and commercial suburb within the Sapporo metropolitan area.
  • D. Toyokawa
    Toyokawa is a city in Aichi Prefecture, Japan, known for its historic Toyokawa Inari temple and manufacturing industries.
  • E. Nagahama
    Nagahama is a historic lakeside city in central Japan known for its preserved Edo-period streets, Nagahama Castle, and scenic location on the northeastern shore of Lake Biwa.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c1b7dc81908d8cc768c47390d3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5563dc9c881908d17a061e6071d2c completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:32 p.m.