Triple

T23874913
Position Surface form Disambiguated ID Type / Status
Subject Enrique Peña Nieto E592836 entity
Predicate politicalRegionBase P75093 FINISHED
Object State of Mexico 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: State of Mexico | Statement: [Enrique Peña Nieto, politicalRegionBase, State of Mexico]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalRegionBase
Context triple: [Enrique Peña Nieto, politicalRegionBase, State of Mexico]
  • A. politicalRegionType
    Indicates the classification of a political region according to its governmental or administrative type (e.g., state, province, municipality).
  • B. politicalRegionRepresented chosen
    Indicates that one entity serves as the official political representative or governing body for a specified geographic or administrative region.
  • C. policyRegion
    Indicates the geographic or administrative region to which a particular policy applies or is associated.
  • D. geopoliticalRegion
    Indicates a relationship where an entity is a defined political or administrative geographic area, such as a country, state, province, or similar region.
  • E. politicalDivision
    Indicates that one entity is a governmental or administrative subdivision or jurisdiction within the territory or authority of another entity.
  • F. None of above.

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_69e25d23a5c88190ae3999c70ca15e08 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cc00420c8190b841ea15044961d8 completed April 29, 2026, 9:14 a.m.
PD Predicate disambiguation batch_69f1614a65a88190bde1efb368a151e4 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:15 p.m.