Triple

T10902310
Position Surface form Disambiguated ID Type / Status
Subject Namibia University of Science and Technology E257474 entity
Predicate sectorContribution P32550 FINISHED
Object human capital development in STEM fields in Namibia 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: human capital development in STEM fields in Namibia | Statement: [Namibia University of Science and Technology, sectorContribution, human capital development in STEM fields in Namibia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectorContribution
Context triple: [Namibia University of Science and Technology, sectorContribution, human capital development in STEM fields in Namibia]
  • A. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • B. sectorBenefited chosen
    Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or entity.
  • C. sectorBase
    Indicates that one entity serves as the primary base or foundational location for operations within a particular sector of another entity.
  • D. ownerSector
    Indicates the sector or industry category to which the owner of an entity belongs.
  • E. sector
    Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a4e9d48190b107839761a2152b completed April 9, 2026, 8:21 a.m.
PD Predicate disambiguation batch_69d70d3d69e08190bb369e9a7927142c completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:22 p.m.