Triple

T32479301
Position Surface form Disambiguated ID Type / Status
Subject Peruvian border control at Santa Rosa E830063 entity
Predicate nearbyBorderFacility P68854 FINISHED
Object Chilean border control at Chacalluta 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: Chilean border control at Chacalluta | Statement: [Peruvian border control at Santa Rosa, nearbyBorderFacility, Chilean border control at Chacalluta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nearbyBorderFacility
Context triple: [Peruvian border control at Santa Rosa, nearbyBorderFacility, Chilean border control at Chacalluta]
  • A. bordersFacility chosen
    Indicates that one facility or site lies directly adjacent to and shares a boundary with another facility.
  • B. nearbyFacilityCountry
    Indicates that a facility is located in or near the specified country.
  • C. borderTerminusNearby
    Indicates that the endpoint of a border or boundary lies close to a specified reference location or feature.
  • D. nearestInternationalBorderPostAlongPark
    Indicates the closest international border checkpoint located along the boundary or within the area of a specified park.
  • E. borderingCountryNearby
    Indicates that one country is geographically close to, but does not necessarily share a direct land border with, another country.
  • 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_69f3491ff3b48190b50a7fa00bb05b1f completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
Created at: May 1, 2026, 12:58 a.m.