Triple

T33438797
Position Surface form Disambiguated ID Type / Status
Subject Ta’aisha E856301 entity
Predicate historicallyProminentFor P24496 FINISHED
Object role in the Mahdist state 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: role in the Mahdist state | Statement: [Ta’aisha, historicallyProminentFor, role in the Mahdist state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyProminentFor
Context triple: [Ta’aisha, historicallyProminentFor, role in the Mahdist state]
  • A. hasHistoricSignificanceFor
    Indicates that something holds notable historical importance or relevance for a particular entity or group.
  • B. hasHistoricalSignificanceThrough
    Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
  • C. historicalNotability
    Indicates that an entity is recognized as having significant importance, influence, or prominence in history.
  • D. wasProminentIn chosen
    Indicates that an entity was notably active, influential, or widely recognized within a particular field, context, or time period.
  • E. hasHistoricalSignificance
    Indicates that something possesses notable importance or influence within a historical context or period.
  • 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_69f349709e7881908c342b4d34f555f4 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a000014497c819088d5cda3977522dd completed May 10, 2026, 3:48 a.m.
PD Predicate disambiguation batch_69ffff9a52b08190be1024e0fb6fe661 completed May 10, 2026, 3:46 a.m.
Created at: May 1, 2026, 1:37 a.m.