Triple

T16228244
Position Surface form Disambiguated ID Type / Status
Subject USD 388 E393910 entity
Predicate locatedIn P40 FINISHED
Object Ellis, Kansas E403790 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: Ellis, Kansas | Statement: [USD 388, locatedIn, Ellis, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellis, Kansas
Context triple: [USD 388, locatedIn, Ellis, Kansas]
  • A. Ellis, Kansas chosen
    Ellis, Kansas is a small city in western Kansas known as the boyhood home of automotive pioneer Walter P. Chrysler and for its railroad heritage.
  • B. 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.
  • C. Kinsley, Kansas
    Kinsley, Kansas is a small city in south-central Kansas known for its location near the geographic midpoint between New York City and San Francisco.
  • D. Wilsey, Kansas
    Wilsey, Kansas is a small rural city located in central Kansas within the Flint Hills region.
  • E. Willard, Kansas
    Willard, Kansas is a small rural city located in Shawnee County in the northeastern 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f740ec8190ab075c953e27cfba completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:03 a.m.