Triple

T2183371
Position Surface form Disambiguated ID Type / Status
Subject Lake Texcoco E49096 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: [Lake Texcoco, partOf, Mexican Plateau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexican Plateau
Context triple: [Lake Texcoco, 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. Northwestern Mexico
    Northwestern Mexico is a geographic region of Mexico along the Pacific coast known for its desert landscapes, coastal plains, and states such as Sinaloa, Sonora, and Baja California.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0e92248190a9449fce4044438a completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da963308190bcd0918b8317b3f6 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.