Triple

T6057413
Position Surface form Disambiguated ID Type / Status
Subject NDP E134947 entity
Predicate bannedFromPolitics P22057 FINISHED
Object 2011 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: 2011 | Statement: [NDP, bannedFromPolitics, 2011]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: bannedFromPolitics
Context triple: [NDP, bannedFromPolitics, 2011]
  • A. bannedOppositionParties
    Indicates that a governing authority has prohibited opposition political parties from operating or participating in the political process.
  • B. excludedFromPoliticalRights chosen
    Indicates that an entity is denied or deprived of participation in political rights, such as voting, holding office, or engaging in formal political decision-making.
  • C. bannedBy
    Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
  • D. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • E. endedPoliticalEntity
    Indicates that one political entity brought about the termination or dissolution of another political entity.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570d00e88190b2d8d596e40378d9 completed March 22, 2026, 8:54 p.m.
PD Predicate disambiguation batch_69c049edc6f0819092ca620d9073ad26 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:09 p.m.