Triple

T24136654
Position Surface form Disambiguated ID Type / Status
Subject Bolesław Wieniawa-Długoszowski E598106 entity
Predicate designationAsPresidentWas P154977 FINISHED
Object not implemented 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: not implemented | Statement: [Bolesław Wieniawa-Długoszowski, designationAsPresidentWas, not implemented]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designationAsPresidentWas
Context triple: [Bolesław Wieniawa-Długoszowski, designationAsPresidentWas, not implemented]
  • A. officeAssumedAsPresidentFollowing
    Indicates that one entity assumed the office of president immediately after another entity, in a direct succession.
  • B. succeededByAsPresident
    Indicates that one individual directly followed another in holding the office of president.
  • C. inauguratedBy
    Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
  • D. firstElectedAsPresident
    Indicates the event or relationship in which a person is elected to the office of president for the first time.
  • E. hadMajorPresidency
    Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
  • 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_69e288c92e448190ac57034fa0c863ce completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1df7d30a0819092ecea0cf58c2332 completed April 29, 2026, 10:37 a.m.
PD Predicate disambiguation batch_69f1765650fc8190a6bc1eb512b240bf completed April 29, 2026, 3:09 a.m.
PDg Predicate description generation batch_69f17c28b684819084eea522126463f8 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 11:27 p.m.