Triple

T10316962
Position Surface form Disambiguated ID Type / Status
Subject Skidi Pawnee E242041 entity
Predicate ethnicGroupOf P1898 FINISHED
Object Central 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: Central Plains | Statement: [Skidi Pawnee, ethnicGroupOf, Central Plains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Plains
Context triple: [Skidi Pawnee, ethnicGroupOf, Central Plains]
  • A. Central Plains region
    The Central Plains region is a key economic and cultural heartland of China, centered around the middle and lower reaches of the Yellow River and encompassing major inland cities and agricultural areas.
  • B. 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.
  • C. Southern Great Plain
    The Southern Great Plain is a large, predominantly flat agricultural region in southeastern Hungary known for its fertile lands and extensive farming.
  • D. 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.
  • E. 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.
  • 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_69d4d35cf8cc819084dd472f22d604be completed April 7, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e4cdf8881908d613a0cb65fa0c2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:49 a.m.