Triple

T1617550
Position Surface form Disambiguated ID Type / Status
Subject Pan-African Parliament E34753 entity
Predicate representationRule P6730 FINISHED
Object at least one woman among each member state’s delegation 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: at least one woman among each member state’s delegation | Statement: [Pan-African Parliament, representationRule, at least one woman among each member state’s delegation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representationRule
Context triple: [Pan-African Parliament, representationRule, at least one woman among each member state’s delegation]
  • A. representationType
    Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
  • B. representation
    Indicates that one entity stands in for, symbolizes, or depicts another entity in some context.
  • C. representationLevel
    Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
  • D. compositionRule chosen
    Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
  • E. displayRule
    Indicates the rule or condition that determines how something should be visually presented or displayed.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a93fef600c819080fe75c42c8e6dac completed March 5, 2026, 8:33 a.m.
PD Predicate disambiguation batch_69a907c52a548190b648a31ea306dd5b completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.