Triple

T20600400
Position Surface form Disambiguated ID Type / Status
Subject Hidalgo E506161 entity
Predicate borders P224 FINISHED
Object México (state) NE NERFINISHED

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: México (state) | Statement: [Hidalgo, borders, México (state)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: México (state)
Context triple: [Hidalgo, borders, México (state)]
  • 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. Mexico State
    Mexico State is a federal entity in central Mexico that surrounds most of Mexico City and is one of the country’s most populous and industrially important states.
  • 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. Hidalgo (state)
    Hidalgo is a landlocked state in central-eastern Mexico known for its mining history, indigenous Otomí and Nahua cultures, and archaeological sites such as Tula.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.