Triple

T16564592
Position Surface form Disambiguated ID Type / Status
Subject Lerma River E402426 entity
Predicate sourceRegion P410 FINISHED
Object State of Mexico E35708 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: State of Mexico | Statement: [Lerma River, sourceRegion, State of Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Mexico
Context triple: [Lerma River, sourceRegion, State of Mexico]
  • A. State of Mexico chosen
    The State of Mexico is a populous federal entity in central Mexico that surrounds much of Mexico City and is a major political, economic, and industrial hub of the country.
  • B. Guatimozín
    Guatimozín is another name for Cuauhtémoc, the last Aztec emperor who led the defense of Tenochtitlan against the Spanish conquest.
  • C. Mexico
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • D. Mexico
    Mexico is a landlocked municipality in the province of Pampanga in the Philippines, known for its historical churches and agricultural economy.
  • E. Chihuahua, Mexico
    Chihuahua, Mexico is a large state in northern Mexico known for its vast deserts, rugged Sierra Madre mountains, and role in the Mexican Revolution.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3577043048190bc9bcf55069b769f completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075925b18819084c6d476eceea5f5 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:15 a.m.