Triple

T16655837
Position Surface form Disambiguated ID Type / Status
Subject Leavenworth E404725 entity
Predicate adjacentTo P224 FINISHED
Object Lansing, Kansas E103517 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: Lansing, Kansas | Statement: [Leavenworth, adjacentTo, Lansing, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lansing, Kansas
Context triple: [Leavenworth, adjacentTo, Lansing, Kansas]
  • A. Lansing, Kansas chosen
    Lansing, Kansas is a small city in Leavenworth County known for housing the Lansing Correctional Facility and serving as part of the greater Kansas City metropolitan area.
  • B. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • C. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • D. Hartford, Kansas
    Hartford, Kansas is a small rural city in east-central Kansas known for its close-knit community and agricultural surroundings.
  • E. Madison, Kansas
    Madison, Kansas is a small rural city in Greenwood County known for its agricultural surroundings and location in east-central 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfa45d8819081bf8579a7160389 completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50edea48190b65f4e6a9eb3ba24 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:18 a.m.