Triple

T1955510
Position Surface form Disambiguated ID Type / Status
Subject Distrito Federal E42257 entity
Predicate borderedBy P224 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: [Distrito Federal, borderedBy, State of Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State of Mexico
Context triple: [Distrito Federal, borderedBy, 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. Estado de México
    Estado de México is a populous central Mexican state that surrounds much of Mexico City and is a major political, economic, and industrial hub of the country.
  • E. Chiapas
    Chiapas is a southern Mexican state known for its rich indigenous cultures, Mayan archaeological sites like Palenque, and diverse natural landscapes including jungles and highlands.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb353aa8c81909810347f9981a02f completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acad6408190ac31a3f817df1360 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.