Triple

T2595657
Position Surface form Disambiguated ID Type / Status
Subject Lea County E58223 entity
Predicate borderedBy P224 FINISHED
Object Chaves County E254639 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: Chaves County | Statement: [Lea County, borderedBy, Chaves County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaves County
Context triple: [Lea County, borderedBy, Chaves County]
  • A. Chaves County
    Chaves County is a county in southeastern New Mexico best known for its seat, the city of Roswell, and its association with the famous 1947 UFO incident.
  • B. Chaves County, New Mexico chosen
    Chaves County, New Mexico is a county in southeastern New Mexico best known for encompassing the city of Roswell, a focal point of UFO lore and aerospace history.
  • C. Plumas County
    Plumas County is a rural, mountainous county in northeastern California known for its forests, lakes, and outdoor recreation within the northern Sierra Nevada.
  • D. El Paso County
    El Paso County is a county-level jurisdiction in western Texas that includes the city of El Paso and forms part of the U.S.–Mexico border region.
  • E. San Juan County
    San Juan County is a scenic archipelago county in northwestern Washington State, known for its islands, marine wildlife, and tourism-focused communities.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c3607c81908bb4aceca46c5392 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:49 p.m.