Triple

T1620532
Position Surface form Disambiguated ID Type / Status
Subject South African general election, 1989 E35019 entity
Predicate typeOfFranchise P31018 FINISHED
Object racially segregated franchise 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: racially segregated franchise | Statement: [South African general election, 1989, typeOfFranchise, racially segregated franchise]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfFranchise
Context triple: [South African general election, 1989, typeOfFranchise, racially segregated franchise]
  • A. franchiseOf
    Indicates that one entity operates as a franchise belonging to or licensed by another entity.
  • B. controlsFranchiseType
    Indicates that one entity has authority to determine or manage the type or category of franchise associated with another entity.
  • C. basisOfFranchise
    Indicates that one work or property serves as the foundational source or origin for a broader franchise or series.
  • D. franchiseName
    Indicates that an entity is identified by or associated with a specific franchise’s official name.
  • E. franchiseStatus
    Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
  • F. None of above. chosen

Provenance (4 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a99ca48c888190876500df1a885c11 completed March 5, 2026, 3:09 p.m.
Created at: March 4, 2026, 7:28 p.m.