Triple

T37143535
Position Surface form Disambiguated ID Type / Status
Subject Félix Tshisekedi E920178 entity
Predicate assumedOfficeAsPresidentOfDRC P187189 FINISHED
Object 2019-01-24 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: 2019-01-24 | Statement: [Félix Tshisekedi, assumedOfficeAsPresidentOfDRC, 2019-01-24]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: assumedOfficeAsPresidentOfDRC
Context triple: [Félix Tshisekedi, assumedOfficeAsPresidentOfDRC, 2019-01-24]
  • A. assumedOfficeAsPresidentOfSouthAfrica
    Indicates that an individual formally took up and began serving in the role of President of South Africa.
  • B. officeAssumedAsPresidentFollowing
    Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
  • C. designationAsPresidentWas
    Indicates that an entity was formally appointed or recognized as president of another entity at a particular time or under specific conditions.
  • D. heldOfficeOfPresident
    Indicates that an entity has served in the official role or position of president of a specified organization, country, or body.
  • E. tookOfficeDuring
    Indicates that one entity assumed or held an official position within the time period defined by another entity or event.
  • 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_69f76e9e9d008190a250b0387c992c74 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb344c60f8819090f2e21e1e61d621 completed May 6, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69fb2f642db08190b562725502c74ea6 completed May 6, 2026, 12:09 p.m.
PDg Predicate description generation batch_69fb344ba5408190a6fe8face293d88b completed May 6, 2026, 12:30 p.m.
Created at: May 3, 2026, 4:15 p.m.