Triple

T11486592
Position Surface form Disambiguated ID Type / Status
Subject Asahikawa E272294 entity
Predicate locatedNear P294 FINISHED
Object Biei E373536 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: Biei | Statement: [Asahikawa, locatedNear, Biei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biei
Context triple: [Asahikawa, locatedNear, Biei]
  • A. Biei chosen
    Biei is a picturesque rural town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic landscapes that attract photographers and tourists year-round.
  • B. Furano
    Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
  • C. Sodegaura
    Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
  • D. Sagamu
    Sagamu is a major town and commercial center in southwestern Nigeria known for its kola nut trade and location along key transport routes in Ogun State.
  • E. Yufuin
    Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.