Triple

T16720203
Position Surface form Disambiguated ID Type / Status
Subject Rio Communities, New Mexico E406326 entity
Predicate locatedInCountrySubdivision P766 FINISHED
Object Valencia County 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: Valencia County | Statement: [Rio Communities, New Mexico, locatedInCountrySubdivision, Valencia County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valencia County
Context triple: [Rio Communities, New Mexico, locatedInCountrySubdivision, Valencia County]
  • A. Valencia County chosen
    Valencia County is a county in central New Mexico, United States, known for its mix of rural communities, agricultural areas, and proximity to the Albuquerque metropolitan region.
  • B. Suwannee County
    Suwannee County is a rural county in northern Florida known for the Suwannee River, agriculture, and small-town communities.
  • C. Lee County
    Lee County is a coastal county on Florida’s Gulf Coast known for its beaches, barrier islands, and the city of Fort Myers.
  • D. Lee County
    Lee County is a county in eastern Alabama known for being home to the city of Auburn and Auburn University.
  • E. Lee County
    Lee County is a county in northern Illinois known for its largely rural landscape, small towns, and agricultural economy.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874270748190ad7c3b3531293b60 completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:20 a.m.