Triple

T20280707
Position Surface form Disambiguated ID Type / Status
Subject Uvalde County E503132 entity
Predicate borderedByCounty P6346 FINISHED
Object Real 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: Real County | Statement: [Uvalde County, borderedByCounty, Real County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Real County
Context triple: [Uvalde County, borderedByCounty, Real County]
  • A. Real County chosen
    Real County is a sparsely populated rural county in the Texas Hill Country, known for its rugged canyons, clear rivers, and outdoor recreation.
  • B. Big County
    Big County is the nickname of Perthshire, a large historic county in central Scotland known for its expansive rural landscapes and scenic beauty.
  • C. She County
    She County is a historic county in southern Anhui Province, China, known for its well-preserved ancient architecture and cultural heritage within the Huangshan region.
  • D. Canadian County
    Canadian County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
  • E. The County
    The County is the colloquial nickname for Aroostook County in northern Maine, known for its vast rural landscape, potato farming, and strong cultural ties to both the United States and neighboring Canada.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:38 a.m.