Triple

T10695940
Position Surface form Disambiguated ID Type / Status
Subject Fukushima Prefecture E252139 entity
Predicate hasMunicipality P847 FINISHED
Object Fukushima City E822781 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: Fukushima City | Statement: [Fukushima Prefecture, hasMunicipality, Fukushima City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukushima City
Context triple: [Fukushima Prefecture, hasMunicipality, Fukushima City]
  • A. Fukushima City chosen
    Fukushima City is the capital of Fukushima Prefecture in northeastern Japan, known as a regional administrative and commercial center.
  • B. Tokushima City
    Tokushima City is the capital of Tokushima Prefecture on Japan’s Shikoku Island, known as a regional cultural and economic center and famous for its Awa Odori dance festival.
  • C. Iwanuma City
    Iwanuma City is a coastal municipality in northeastern Japan known for its agricultural landscape and proximity to Sendai in Miyagi Prefecture.
  • D. Tagajō City
    Tagajō City is a coastal municipality in northeastern Japan known for its historic Taga Castle ruins and role as an ancient regional administrative center.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3af5248190ab807965255e9ad2 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e482f327e48190ad087c232fd05609 completed April 19, 2026, 7:23 a.m.
Created at: April 8, 2026, 9:11 p.m.