Triple

T1192866
Position Surface form Disambiguated ID Type / Status
Subject Patriots E25600 entity
Predicate opposedPoliticalConcept P437 FINISHED
Object taxation without representation 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: taxation without representation | Statement: [Patriots, opposedPoliticalConcept, taxation without representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: opposedPoliticalConcept
Context triple: [Patriots, opposedPoliticalConcept, taxation without representation]
  • A. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • B. opposedBy chosen
    Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
  • C. opposedFormOfGovernment
    Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
  • D. hasConceptualOpposite
    Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
  • E. politicalConceptAssociated
    Indicates that there is a conceptual or thematic association between a political concept and another entity (such as an idea, event, policy, or actor).
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd761ef08190b431b80f326d1ab2 completed March 1, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69a4bb5bacc481909e8dfd5215e4711a completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.