Triple

T11523204
Position Surface form Disambiguated ID Type / Status
Subject Neosho River E273218 entity
Predicate flowsThrough P225 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: [Neosho River, flowsThrough, Parsons, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parsons, Kansas
Context triple: [Neosho River, flowsThrough, 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. Peabody, Kansas
    Peabody, Kansas is a small historic city in central Kansas known for its 19th-century architecture and annual Independence Day celebrations.
  • C. Park, Kansas
    Park, Kansas is a small rural city located in Gove County in western Kansas, known for its agricultural surroundings and tight-knit community.
  • D. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • E. St. Paul, Kansas
    St. Paul, Kansas is a small rural city in southeastern Kansas known for its strong Catholic heritage and historic mission roots.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6717a5ca081908bdba9b944b76258 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:37 p.m.