Triple

T1416690
Position Surface form Disambiguated ID Type / Status
Subject North Dakota E31933 entity
Predicate hasRegion P285 FINISHED
Object Badlands E92255 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: Badlands | Statement: [North Dakota, hasRegion, Badlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badlands
Context triple: [North Dakota, hasRegion, Badlands]
  • A. Badlands chosen
    Badlands is a rugged, heavily eroded landscape of steep slopes, gullies, and sparse vegetation, known for its striking rock formations and rich fossil beds.
  • B. Badlands
    Badlands is a 1973 American crime drama film directed by Terrence Malick, loosely based on a real-life killing spree and noted for its lyrical style and philosophical tone.
  • C. The Big Valley
    The Big Valley is a 1960s American Western television series centered on the wealthy Barkley family in California’s San Joaquin Valley.
  • D. High Desert
    High Desert is a sparsely populated, arid region in eastern and central Oregon known for its sagebrush plains, volcanic landscapes, and wide-open skies.
  • E. High Desert
    High Desert is a sparsely populated, arid region of the western United States characterized by high elevation, sagebrush steppe, and wide open basins and ranges.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c403ccdc8190b2a5fda037b6ea34 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5833bb88190bcaf8cf46264ab26 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.