Triple

T29733768
Position Surface form Disambiguated ID Type / Status
Subject MPhil in Economic Development E752398 entity
Predicate sectorRelevance P97586 FINISHED
Object international development organizations 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: international development organizations | Statement: [MPhil in Economic Development, sectorRelevance, international development organizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectorRelevance
Context triple: [MPhil in Economic Development, sectorRelevance, international development organizations]
  • A. sectorInfluence
    Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
  • B. sectoralCoverage chosen
    Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
  • C. industryExposure
    Indicates the extent to which an entity is involved in, affected by, or financially linked to a particular industry or set of industries.
  • D. ownerSector
    Indicates the sector or industry category to which the owner of an entity belongs.
  • E. sectorStrength
    Indicates the relative performance or influence level of a specific sector compared to others within a broader system or market.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f67332b6808190bb4948d78da1e440 completed May 2, 2026, 9:57 p.m.
PD Predicate disambiguation batch_69f66ac1a4fc81909740d2e52fbe6970 completed May 2, 2026, 9:21 p.m.
Created at: April 28, 2026, 7:44 p.m.