Triple

T8876640
Position Surface form Disambiguated ID Type / Status
Subject White Butte E211301 entity
Predicate region P40 FINISHED
Object Great Plains E9201 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: Great Plains | Statement: [White Butte, region, Great Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Great Plains
Context triple: [White Butte, region, Great Plains]
  • A. Great Plains chosen
    The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
  • B. Northern Great Plain
    The Northern Great Plain is a large, predominantly flat agricultural and economic region in eastern Hungary that includes major cities such as Debrecen.
  • 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. Plains
    Plains is a small village in North Lanarkshire, Scotland, situated between Airdrie and Caldercruix in the country’s Central Belt.
  • E. Plains
    Plains is a common, flat, grassy biome in Minecraft characterized by abundant passive mobs, scattered trees or villages, and generally peaceful terrain ideal for building.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61472cc081909e51b4a35a20ef43 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfaba6f2f481909a30f71e96bc9079 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.