Triple

T1371554
Position Surface form Disambiguated ID Type / Status
Subject Smoky Hill River E30122 entity
Predicate flowsThrough P225 FINISHED
Object Salina, Kansas E125715 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: Salina, Kansas | Statement: [Smoky Hill River, flowsThrough, Salina, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salina, Kansas
Context triple: [Smoky Hill River, flowsThrough, Salina, Kansas]
  • A. Salina, Kansas, United States chosen
    Salina, Kansas, United States is a mid-sized city in central Kansas known as a regional hub for commerce, education, and transportation on the Great Plains.
  • B. Merriam, Kansas
    Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • C. Mission, Kansas
    Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
  • D. McCune, Kansas
    McCune, Kansas is a small rural city located in southeastern Kansas within the Pittsburg micropolitan area.
  • E. Franklin, Kansas
    Franklin, Kansas is a small unincorporated community in southeastern Kansas known historically as a coal mining town.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f314c081909c0ab80397d96abb completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36fb2c348190860129f84ca59cc3 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:57 p.m.