Triple

T11952865
Position Surface form Disambiguated ID Type / Status
Subject Szolnok E284469 entity
Predicate partOf P40 FINISHED
Object Northern Great Plain E234405 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: Northern Great Plain | Statement: [Szolnok, partOf, Northern Great Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Great Plain
Context triple: [Szolnok, partOf, Northern Great Plain]
  • A. Northern Great Plain chosen
    The Northern Great Plain is a large, predominantly flat agricultural and economic region in eastern Hungary that includes major cities such as Debrecen.
  • B. 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.
  • C. Great Plains
    The Great Plains is a vast, mostly flat grassland region in central North America known for its prairies, agriculture, and continental climate.
  • D. 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.
  • E. Southeastern Plains
    The Southeastern Plains is a broad, low-lying ecoregion of the southeastern United States characterized by gently rolling terrain, extensive forests, and mixed agricultural and rural landscapes.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90365da288190a132703df563de23 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e391d7c8190a414cb3306bfe139 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:45 p.m.