Triple

T1946167
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Abdul Jalil E42058 entity
Predicate politicalRoleDuringEvent P1827 FINISHED
Object Leader of the opposition during the 2011 Libyan uprising 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: Leader of the opposition during the 2011 Libyan uprising | Statement: [Mustafa Abdul Jalil, politicalRoleDuringEvent, Leader of the opposition during the 2011 Libyan uprising]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalRoleDuringEvent
Context triple: [Mustafa Abdul Jalil, politicalRoleDuringEvent, Leader of the opposition during the 2011 Libyan uprising]
  • A. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • B. namedForPoliticalRole
    Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
  • C. ceremonialRoleInPeriod
    Indicates that an entity holds or fulfills a specific ceremonial role during a defined time period.
  • D. meetsDuringPresidencyOf
    Indicates that one entity meets another while a specified person is serving as president.
  • E. servedAs chosen
    Indicates that one entity held and performed the role, position, or function associated with another entity for some period of time.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abaff25a588190bb4cbc8df9fc6d64 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.