Triple

T967205
Position Surface form Disambiguated ID Type / Status
Subject Pedro Nuno Santos E20862 entity
Predicate typeOfPolitician P22253 FINISHED
Object national-level politician 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: national-level politician | Statement: [Pedro Nuno Santos, typeOfPolitician, national-level politician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfPolitician
Context triple: [Pedro Nuno Santos, typeOfPolitician, national-level politician]
  • A. typeOfOffice
    Indicates the specific category or kind of office that an office entity belongs to (e.g., executive, legislative, judicial, or other office types).
  • B. representedPoliticalEntity
    Indicates that one entity has served as an official political representative or agent acting on behalf of another political entity.
  • C. roleInCongress
    Indicates the specific position or function an individual holds within a legislative congress.
  • D. politicalPartyLeader
    Indicates that one entity serves as the leader or head of a specified political party.
  • E. electoralPosition
    Indicates that an entity holds, has held, or is a candidate for a specific role or office within an electoral or political system.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43549008190a4d65efdc3bda520 completed March 1, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69a4b2a42c1481908d940cbe0aefdd3b completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b36064a48190b85c402f32cbadd1 completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:40 p.m.