Triple

T21545311
Position Surface form Disambiguated ID Type / Status
Subject Halstead, Kansas E531607 entity
Predicate hasNearbyCity P350 FINISHED
Object Newton, Kansas NE NERFINISHED

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: Newton, Kansas | Statement: [Halstead, Kansas, hasNearbyCity, Newton, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newton, Kansas
Context triple: [Halstead, Kansas, hasNearbyCity, Newton, Kansas]
  • A. Newton, Kansas chosen
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • B. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • C. Watson, Kansas
    Watson, Kansas is a small unincorporated rural community located in Shawnee County in the U.S. state of Kansas.
  • D. Madison, Kansas
    Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central Kansas.
  • 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 (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58e38808190888f3501cf4fff7c completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.