Triple

T33614491
Position Surface form Disambiguated ID Type / Status
Subject Subteniente López E861078 entity
Predicate hasBorderControlAuthority P194091 FINISHED
Object Mexican customs service 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: Mexican customs service | Statement: [Subteniente López, hasBorderControlAuthority, Mexican customs service]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBorderControlAuthority
Context triple: [Subteniente López, hasBorderControlAuthority, Mexican customs service]
  • A. hasBorderControlBy
    Indicates that the border of one entity is monitored, regulated, or managed by another entity.
  • B. hasBorderControlStatus
    Indicates the type or condition of border control that applies to a given entity or location.
  • C. hasBorderControlFacility
    Indicates that one location possesses an official facility responsible for managing and controlling border crossings to or from another location.
  • D. hasBorderControlHistory
    Indicates that there is a documented history of actions, policies, or events related to border control involving the associated entities.
  • E. hasBorderControlIssues
    Indicates that there are problems, weaknesses, or irregularities in the enforcement or management of border controls between entities.
  • F. None of above. chosen

Provenance (4 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_69f3498037c88190a4500f002b5540e0 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd5f29b1988190877764ef2a399c7f completed May 8, 2026, 3:57 a.m.
PD Predicate disambiguation batch_69fd5e30194c819085b5ce586122ab37 completed May 8, 2026, 3:53 a.m.
PDg Predicate description generation batch_69fd5f2903a48190ac4b718bff99c6cf completed May 8, 2026, 3:57 a.m.
Created at: May 1, 2026, 1:41 a.m.