Triple

T1232452
Position Surface form Disambiguated ID Type / Status
Subject Central Mexico E26473 entity
Predicate partOf P40 FINISHED
Object Mexican Plateau E29675 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: Mexican Plateau | Statement: [Central Mexico, partOf, Mexican Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexican Plateau
Context triple: [Central Mexico, partOf, Mexican Plateau]
  • A. Mexican Plateau chosen
    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.
  • B. 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.
  • C. Meseta Central
    Meseta Central is a vast highland plateau in central Spain that forms the core of the Iberian Peninsula’s interior landscape.
  • D. Sierra Madre Occidental
    The Sierra Madre Occidental is a major mountain range in western Mexico known for its rugged terrain, deep canyons, and significant biodiversity.
  • E. Sierra Madre Oriental
    The Sierra Madre Oriental is a major mountain range in northeastern Mexico known for its rugged terrain, rich biodiversity, and significant influence on the region’s climate and watersheds.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5b40208190b115a6a344402caf completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a16badc8190b5b603db0ca738cb completed March 7, 2026, 8:27 p.m.
Created at: March 1, 2026, 7:47 p.m.