Triple

T16078315
Position Surface form Disambiguated ID Type / Status
Subject Lynn County E390031 entity
Predicate region P40 FINISHED
Object High Plains E907042 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: High Plains | Statement: [Lynn County, region, High Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High Plains
Context triple: [Lynn County, region, High Plains]
  • A. High Plains region chosen
    The High Plains region is a vast, elevated grassland area of the central United States known for its flat terrain, semi-arid climate, and extensive agricultural and ranching activities.
  • B. Rio Grande Plains
    The Rio Grande Plains is a semi-arid, brush-covered physiographic region of southern Texas characterized by rolling plains, thorny shrublands, and ranching and oil activities.
  • C. Llano Estacado
    Llano Estacado is a vast, high, and remarkably flat plateau of the southern Great Plains, spanning parts of northwest Texas and eastern New Mexico and known for its stark, semi-arid landscape.
  • D. Great Plains
    The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
  • E. Silicon Prairie
    Silicon Prairie is the informal name for the tech and startup hub in Texas’s Dallas–Fort Worth area during the early personal computing and internet boom.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c401a881908fcb0b753d2dfc8a completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff798c2a48190b6eccd476a0a396f completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 4:57 a.m.