Triple

T2454897
Position Surface form Disambiguated ID Type / Status
Subject 枚方市 E54395 entity
Predicate 姉妹都市 P31399 FINISHED
Object ローレンス市 E107652 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: ローレンス市 | Statement: [枚方市, 姉妹都市, ローレンス市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ローレンス市
Context triple: [枚方市, 姉妹都市, ローレンス市]
  • A. Grant City
    Grant City is a residential neighborhood on Staten Island, New York City, known for its suburban character and convenient access to Manhattan via the Staten Island Railway.
  • B. Lawrence, Texas
    Lawrence, Texas is an unincorporated rural community located in Kaufman County in northeastern Texas.
  • C. Lawrence, Kansas chosen
    Lawrence, Kansas is a vibrant college town in northeastern Kansas known for the University of Kansas, its historic downtown, and a strong arts and music scene.
  • D. Cheyenne
    Cheyenne is the capital and most populous city of Wyoming, known for its historic railroad roots and annual Cheyenne Frontier Days rodeo.
  • E. Cheyenne
    The Cheyenne are a Native American people of the Great Plains known for their nomadic horse culture, warrior societies, and significant role in 19th-century U.S. frontier history.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd82f2020819086bbd321a750ce43 completed March 7, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c7c90c8190ba5ed3cece5e049f completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.