Triple

T10304469
Position Surface form Disambiguated ID Type / Status
Subject Wahpeton Dakota E241714 entity
Predicate culturalArea P1968 FINISHED
Object 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: Plains | Statement: [Wahpeton Dakota, culturalArea, Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plains
Context triple: [Wahpeton Dakota, culturalArea, Plains]
  • A. Plains
    Plains is a small village in North Lanarkshire, Scotland, situated between Airdrie and Caldercruix in the country’s Central Belt.
  • B. 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.
  • C. Plains
    Plains is a small borough in Luzerne County, northeastern Pennsylvania, situated within the Wyoming Valley near the city of Wilkes-Barre.
  • D. The Plains
    The Plains is a central open space and gathering area in the town of Totnes, Devon, often used for markets, events, and community activities.
  • E. 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.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d308f034819098da69b963eb8a02 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d75026fb0881908e4d16b3fde531c0 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:45 a.m.