Triple

T24993242
Position Surface form Disambiguated ID Type / Status
Subject Municipalities of Zacatecas E625500 entity
Predicate receiveFundingFrom P52361 FINISHED
Object federal government 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: federal government of Mexico | Statement: [Municipalities of Zacatecas, receiveFundingFrom, federal government of Mexico]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receiveFundingFrom
Context triple: [Municipalities of Zacatecas, receiveFundingFrom, federal government of Mexico]
  • A. fundingDestination
    Indicates the target entity or purpose to which financial resources are allocated or directed.
  • B. permittedFundingFrom
    Indicates that providing financial resources from one entity to another is allowed under specified rules or conditions.
  • C. recipientOf chosen
    Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
  • D. additionalFunding
    Indicates that one entity provides or allocates extra financial resources beyond an initial or existing amount to another entity or project.
  • E. authorizesFundingFor
    Indicates that one entity grants official approval or permission for financial resources to be provided to another entity or purpose.
  • 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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cfb53f4819099bba48c5057e787 completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 6:04 a.m.