Triple

T23258002
Position Surface form Disambiguated ID Type / Status
Subject Internet in Sierra Leone E581923 entity
Predicate fixedBroadbandCoverage P4903 FINISHED
Object limited mainly to urban areas 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: limited mainly to urban areas | Statement: [Internet in Sierra Leone, fixedBroadbandCoverage, limited mainly to urban areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fixedBroadbandCoverage
Context triple: [Internet in Sierra Leone, fixedBroadbandCoverage, limited mainly to urban areas]
  • A. networkCoverage chosen
    Indicates the extent to which a network’s signal or service is available across a given area or to specific entities.
  • B. dataCoverage
    Indicates the extent or proportion of relevant data that is included, captured, or represented within a given dataset or system.
  • C. digitalCoverage
    Indicates that one entity provides or has access to digital services, connectivity, or online resources for another entity or within a specified area.
  • D. hasAreaOfCoverage
    Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
  • E. networkBand
    Indicates the specific frequency band or range within a network over which communication or data transmission occurs.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c710c48190aff03d210642a043 completed April 29, 2026, 5:19 a.m.
PD Predicate disambiguation batch_69effce4d704819092826931d430e8c4 completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:11 p.m.