Triple

T17746039
Position Surface form Disambiguated ID Type / Status
Subject Egvekinot Airport E442991 entity
Predicate locatedInRemoteArea P82832 FINISHED
Object true 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: true | Statement: [Egvekinot Airport, locatedInRemoteArea, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInRemoteArea
Context triple: [Egvekinot Airport, locatedInRemoteArea, true]
  • A. isInRemoteArea chosen
    Indicates that an entity is located in a geographically isolated or sparsely populated area, typically far from urban centers or standard infrastructure.
  • B. isInRuralAreaOf
    Indicates that one entity is located within the rural area or countryside region associated with another entity.
  • C. hasVastRemoteAreas
    Indicates that a place or region contains large, sparsely populated or difficult-to-access areas.
  • D. isLocatedOnOutskirtsOf
    Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
  • E. remoteArea
    Indicates that an entity is located in or associated with a geographically isolated or sparsely populated area far from urban centers.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69e3cde815e08190881972e2d80d151e completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:09 a.m.