Triple

T17543138
Position Surface form Disambiguated ID Type / Status
Subject University of Saint Mary E427253 entity
Predicate locatedIn P40 FINISHED
Object Leavenworth, 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: Leavenworth, Kansas | Statement: [University of Saint Mary, locatedIn, Leavenworth, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leavenworth, Kansas
Context triple: [University of Saint Mary, locatedIn, Leavenworth, Kansas]
  • A. Leavenworth, Kansas chosen
    Leavenworth, Kansas is a historic city on the Missouri River known as one of the oldest communities in Kansas and for its long association with major federal and military institutions.
  • 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. Langdon, Kansas
    Langdon, Kansas is a small rural community located in Reno County in the central part of the U.S. state of Kansas.
  • D. Eudora, Kansas
    Eudora, Kansas is a small city in northeastern Kansas located between Lawrence and the Kansas City metropolitan area.
  • E. WaKeeney, Kansas
    WaKeeney, Kansas is a small city in northwestern Kansas known as a regional service center along Interstate 70 and for its historic downtown and annual Christmas light displays.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4545f1fa08190870c9244d06cf5f6 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.