Triple

T5907600
Position Surface form Disambiguated ID Type / Status
Subject Labette County, Kansas E131379 entity
Predicate largestCity P235 FINISHED
Object Parsons, Kansas E568349 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: Parsons, Kansas | Statement: [Labette County, Kansas, largestCity, Parsons, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsons, Kansas
Context triple: [Labette County, Kansas, largestCity, Parsons, Kansas]
  • A. Parsons, Kansas chosen
    Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
  • B. St. Paul, Kansas
    St. Paul, Kansas is a small rural city in southeastern Kansas known for its strong Catholic heritage and historic mission roots.
  • C. Kimball, Kansas
    Kimball, Kansas is a small unincorporated community located in Neosho County in southeastern Kansas.
  • D. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • E. Ellsworth, Kansas
    Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03772d9dc8190899fe49ef887e685 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712707de88190b408ab01dd025954 completed March 27, 2026, 11:27 p.m.
Created at: March 22, 2026, 3:59 p.m.