Triple

T25526009
Position Surface form Disambiguated ID Type / Status
Subject 1969 SACU Agreement E639777 entity
Predicate organizationBeneficiary P12761 FINISHED
Object Southern African Customs Union NE NERFINISHED

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: Southern African Customs Union | Statement: [1969 SACU Agreement, organizationBeneficiary, Southern African Customs Union]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationBeneficiary
Context triple: [1969 SACU Agreement, organizationBeneficiary, Southern African Customs Union]
  • A. organizationRecipient chosen
    Indicates that an organization is the recipient or beneficiary of something provided, sent, or directed by another entity.
  • B. beneficiaryBody
    Indicates that one entity serves as the benefiting body or organization that receives advantage, support, or services from another entity or action.
  • C. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • D. beneficiaryRole
    Indicates that one entity serves as the beneficiary or recipient of an action, service, or resource provided by another entity.
  • E. philanthropicBeneficiary
    Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
  • 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_69e75dbf3f9c8190b3f2a75d1b75d127 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 21, 2026, 3:10 p.m.