Triple

T15755832
Position Surface form Disambiguated ID Type / Status
Subject Central Spain E381964 entity
Predicate partOf P40 FINISHED
Object Meseta Central E42295 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: Meseta Central | Statement: [Central Spain, partOf, Meseta Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meseta Central
Context triple: [Central Spain, partOf, Meseta Central]
  • A. Meseta Central chosen
    Meseta Central is a vast highland plateau in central Spain that forms the core of the Iberian Peninsula’s interior landscape.
  • B. Meseta Central matorral
    Meseta Central matorral is a semi-arid shrubland ecoregion on Mexico’s central plateau, characterized by drought-adapted vegetation and high biodiversity.
  • C. Carso Plateau
    The Carso Plateau is a rocky limestone region spanning northeastern Italy and southwestern Slovenia, known for its harsh terrain and as a major battleground during World War I.
  • D. Mexican Plateau
    The Mexican Plateau is a vast highland region in northern and central Mexico, characterized by its arid to semi-arid climate, elevated basins, and surrounding mountain ranges.
  • E. San Carlos Plain
    San Carlos Plain is a broad lowland region in northern Costa Rica known for its fertile agricultural lands, cattle ranching, and tropical 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9096d65c81908755cae83cc48e61 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.