Triple

T16040250
Position Surface form Disambiguated ID Type / Status
Subject USD 320 E389075 entity
Predicate operatesIn P82 FINISHED
Object Wamego, Kansas area E398596 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: Wamego, Kansas area | Statement: [USD 320, operatesIn, Wamego, Kansas area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamego, Kansas area
Context triple: [USD 320, operatesIn, Wamego, Kansas area]
  • A. Wamego, Kansas chosen
    Wamego, Kansas is a small city in northeastern Kansas known for its agricultural roots, community-focused atmosphere, and attractions like its Oz-themed tourism sites.
  • B. Alta Vista, Kansas
    Alta Vista, Kansas is a small rural city in eastern Kansas that functions as part of the broader Manhattan-area community.
  • C. Wamego, Kansas, United States
    Wamego, Kansas, United States is a small Midwestern city best known as the birthplace of automotive pioneer Walter Chrysler.
  • D. Wetmore, Kansas
    Wetmore, Kansas is a small rural city located in northeastern Kansas within Nemaha County.
  • E. Van Arsdale, Kansas
    Van Arsdale, Kansas is a small unincorporated rural community located in Harvey County in the central part of the state.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833f84188190baa3a452df880284 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb893f988190a0693564bbe78ca1 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.