Triple

T13686835
Position Surface form Disambiguated ID Type / Status
Subject Antoni Ponikowski E328150 entity
Predicate servedAsPrimeMinister P66236 FINISHED
Object twice 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: twice | Statement: [Antoni Ponikowski, servedAsPrimeMinister, twice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedAsPrimeMinister
Context triple: [Antoni Ponikowski, servedAsPrimeMinister, twice]
  • A. servedUnderPrimeMinister
    Indicates that one person held a governmental or official position subordinate to, and during the tenure of, a particular prime minister.
  • B. succeededInOfficeAsPrimeMinisterBy
    Indicates that one individual’s term as Prime Minister ended and was directly followed by another individual’s term in that office.
  • C. heldOfficeOfPrimeMinisterThrough
    Indicates that an entity continuously occupied and exercised the role and responsibilities of Prime Minister throughout a specified time period.
  • D. officeHeldAsPrimeMinister chosen
    Indicates that an individual holds or has held the specific office or position of Prime Minister.
  • E. producedPrimeMinister
    Indicates that one entity (typically a place, institution, or group) has been the origin or source of an individual who became a prime minister.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69dbbe9059488190a8113177c83e1481 completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 9:53 p.m.