Triple

T2726788
Position Surface form Disambiguated ID Type / Status
Subject Wyandotte County, Kansas E60211 entity
Predicate contains P35 FINISHED
Object Bonner Springs, Kansas E101434 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: Bonner Springs, Kansas | Statement: [Wyandotte County, Kansas, contains, Bonner Springs, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonner Springs, Kansas
Context triple: [Wyandotte County, Kansas, contains, Bonner Springs, Kansas]
  • A. Bonner Springs, Kansas chosen
    Bonner Springs, Kansas is a small city in northeastern Kansas known for its historic downtown, riverfront location along the Kansas River, and regional entertainment venues such as the Azura Amphitheater.
  • B. Baxter Springs, Kansas
    Baxter Springs, Kansas is a historic small city in southeastern Kansas known for its Route 66 heritage and role in the Civil War.
  • C. Woodbine, Kansas
    Woodbine, Kansas is a small rural community located in central Kansas within Dickinson County.
  • D. Franklin, Kansas
    Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
  • E. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdace9f308190964a064859612cd6 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc227c48190b7ab34c6760d3331 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:56 p.m.