Triple

T3222238
Position Surface form Disambiguated ID Type / Status
Subject João Lourenço E67535 entity
Predicate tookOfficeAsPresidentFollowing P1384 FINISHED
Object 2017 Angolan general election 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: 2017 Angolan general election | Statement: [João Lourenço, tookOfficeAsPresidentFollowing, 2017 Angolan general election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsPresidentFollowing
Context triple: [João Lourenço, tookOfficeAsPresidentFollowing, 2017 Angolan general election]
  • A. succeededByAsPresident
    Indicates that one individual directly followed another in holding the office of president.
  • B. precededByAsPresident
    Indicates that one individual held the office of president immediately before another individual.
  • C. servedAsPresidentDuring chosen
    Indicates that a person held the office of president for the duration of a specified time period or event.
  • D. ordinalPresidentInaugurated
    Indicates the ordinal position of a person in the sequence of presidents who have been officially inaugurated.
  • E. inauguratedBy
    Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1845408190b3eccd791231c69c completed March 8, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69ad9e0bb6c48190a0659c67d40ee37c completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:08 p.m.