Triple

T3796747
Position Surface form Disambiguated ID Type / Status
Subject Wamego USD 320 E91587 entity
Predicate headquartersLocation P62 FINISHED
Object Wamego, Kansas 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 | Statement: [Wamego USD 320, headquartersLocation, Wamego, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wamego, Kansas
Context triple: [Wamego USD 320, headquartersLocation, Wamego, Kansas]
  • 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. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
  • C. Weir, Kansas
    Weir, Kansas is a small city located in southeastern Kansas within Cherokee County.
  • D. Hepler, Kansas
    Hepler, Kansas is a small rural town located in southeastern Kansas within Crawford County.
  • E. Ellsworth, Kansas
    Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a0818481909460197929ebb8e4 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336b8d308190a1886ab637173b35 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:15 p.m.