Triple

T10912135
Position Surface form Disambiguated ID Type / Status
Subject Wyoming Territory E257726 entity
Predicate hasPart P35 FINISHED
Object Platte County E819233 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: Platte County | Statement: [Wyoming Territory, hasPart, Platte County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platte County
Context triple: [Wyoming Territory, hasPart, Platte County]
  • A. Platte County
    Platte County is a county in northwestern Missouri that includes part of the Kansas City metropolitan area and the Kansas City International Airport.
  • B. Platte County chosen
    Platte County is a county in southeastern Wyoming known for its rural communities, agricultural economy, and location along the North Platte River.
  • C. Garfield County
    Garfield County is a rural county in southwestern Utah known for its vast public lands, including parts of Bryce Canyon National Park and Grand Staircase–Escalante National Monument.
  • D. Barton County
    Barton County is a rural county in southwestern Missouri, United States, known as the birthplace of President Harry S. Truman.
  • E. Douglas County
    Douglas County is a county in eastern Nebraska that includes the city of Omaha and serves as one of the state’s most populous and economically significant regions.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a92e09648190ab39053521211743 completed April 18, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:22 p.m.