Triple

T11744614
Position Surface form Disambiguated ID Type / Status
Subject Dickinson County E279245 entity
Predicate contains P35 FINISHED
Object Enterprise, Kansas E228668 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: Enterprise, Kansas | Statement: [Dickinson County, contains, Enterprise, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enterprise, Kansas
Context triple: [Dickinson County, contains, Enterprise, Kansas]
  • A. Enterprise, Kansas chosen
    Enterprise, Kansas is a small rural city in central Kansas known for its agricultural community and proximity to the larger city of Abilene.
  • B. Mission, Kansas
    Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
  • C. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • D. Lewis, Kansas
    Lewis, Kansas is a small rural city located in Edwards County in south-central Kansas, United States.
  • E. Watson, Kansas
    Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716adaed081909a6c026f9e232381 completed May 3, 2026, 9:34 a.m.
Created at: April 8, 2026, 9:41 p.m.