Triple

T13095528
Position Surface form Disambiguated ID Type / Status
Subject Crane County E310573 entity
Predicate borderingCounty P6346 FINISHED
Object Upton County E386536 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: Upton County | Statement: [Crane County, borderingCounty, Upton County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upton County
Context triple: [Crane County, borderingCounty, Upton County]
  • A. Upton County chosen
    Upton County is a sparsely populated, oil-producing county in western Texas known for its role in the Permian Basin energy region.
  • B. Stephenson County
    Stephenson County is a county in northern Illinois known for its agricultural landscape, small towns, and historic connection to figures like Jane Addams, who was born in Cedarville.
  • C. Edwards County
    Edwards County is a sparsely populated, rural county in the Texas Hill Country region of the United States, known for its rugged terrain and ranching.
  • D. Craig County
    Craig County is a county in northeastern Oklahoma, United States, known for its rural communities and location within the region often referred to as Green Country.
  • E. Grundy County
    Grundy County is a county in northeastern Illinois known for its mix of rural communities, agriculture, and growing exurban areas southwest of the Chicago metropolitan region.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78acdaae881908825e5308f0ba388 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:03 p.m.