Triple

T3635217
Position Surface form Disambiguated ID Type / Status
Subject Jarama River E77049 entity
Predicate region 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: [Jarama River, region, Meseta Central]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meseta Central
Context triple: [Jarama River, region, 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. Montañas Centrales
    Montañas Centrales is a mountainous region in the Mexican state of Veracruz known for its highland landscapes, coffee-growing areas, and temperate 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc325e2548190ae243ae69126e65c completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1ec2bc8190ae88a2010f84e998 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.