Triple

T17543139
Position Surface form Disambiguated ID Type / Status
Subject University of Saint Mary E427253 entity
Predicate city P40 FINISHED
Object Leavenworth 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 | Statement: [University of Saint Mary, city, Leavenworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leavenworth
Context triple: [University of Saint Mary, city, Leavenworth]
  • A. Leavenworth
    Leavenworth is a city in northeastern Kansas known for its historic military fort and multiple federal and state correctional facilities.
  • B. Leavenworth, Washington
    Leavenworth, Washington is a small Bavarian-themed village in the Cascade Mountains known for its alpine-style architecture, outdoor recreation, and popular festivals like Oktoberfest and Christmas lighting celebrations.
  • C. 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.
  • D. Scobey
    Scobey is a surname and place name most notably associated with the city of Scobey in Montana, United States.
  • E. Lewistown
    Lewistown is a small village in the Ogmore Valley of south Wales, historically associated with coal mining and the broader industrial heritage of the region.
  • 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.