Triple

T15754725
Position Surface form Disambiguated ID Type / Status
Subject Downey, California E381937 entity
Predicate hasSisterCity P919 FINISHED
Object Fukui, Japan E613059 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: Fukui, Japan | Statement: [Downey, California, hasSisterCity, Fukui, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukui, Japan
Context triple: [Downey, California, hasSisterCity, Fukui, Japan]
  • A. Fukui, Japan chosen
    Fukui, Japan is a coastal city on Japan’s main island of Honshu known for its historic castle ruins, nearby Eiheiji Temple, and scenic Sea of Japan coastline.
  • B. Fujinomiya, Japan
    Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
  • C. Fukuroi, Japan
    Fukuroi, Japan is a city in Shizuoka Prefecture known for its agricultural production, traditional temples, and role as a regional industrial and cultural center.
  • D. Tsuyama, Japan
    Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
  • E. Kariya, Japan
    Kariya, Japan is an industrial city in Aichi Prefecture known as a manufacturing hub, particularly for the automotive industry, and as part of the Nagoya metropolitan area.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9096d65c81908755cae83cc48e61 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.