Triple

T15633411
Position Surface form Disambiguated ID Type / Status
Subject Russia–United States border region E375876 entity
Predicate containsInternationalDateLineSegment P119532 FINISHED
Object yes LITERAL 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: yes | Statement: [Russia–United States border region, containsInternationalDateLineSegment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsInternationalDateLineSegment
Context triple: [Russia–United States border region, containsInternationalDateLineSegment, yes]
  • A. isInWesternPartOf
    Indicates that one entity is located within the western part or region of another entity.
  • B. hasInternationalBorderSection
    Indicates that one entity shares a specific segment or portion of its international border with another entity.
  • C. hasAntipodalRegion
    Indicates that one region is located at the antipodal position of another region on a sphere, such that each point in one region corresponds to a point directly opposite it in the other.
  • D. hasInternationalDistrict
    Indicates that an entity possesses, contains, or is associated with a designated international district within its boundaries or scope.
  • E. hasTropicOfCancerCrossing
    Indicates that the specified entity is geographically intersected or crossed by the Tropic of Cancer.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
PD Predicate disambiguation batch_69deda868d4481908f4bce1c64d2902a completed April 15, 2026, 12:23 a.m.
PDg Predicate description generation batch_69dff7f3016c8190ac68d76e65e07af4 completed April 15, 2026, 8:41 p.m.
Created at: April 10, 2026, 4:14 a.m.