Triple

T494792
Position Surface form Disambiguated ID Type / Status
Subject Junior Lords of the Treasury E10268 entity
Predicate compensationCategory P14176 FINISHED
Object paid government whip 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: paid government whip | Statement: [Junior Lords of the Treasury, compensationCategory, paid government whip]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: compensationCategory
Context triple: [Junior Lords of the Treasury, compensationCategory, paid government whip]
  • A. compensationPolicy
    Indicates the rules or guidelines that govern how compensation (such as salary, bonuses, or benefits) is determined and provided.
  • B. salary
    Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
  • C. salaryType
    Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
  • D. payGrade
    Indicates the level or category of compensation assigned to an entity, typically reflecting its rank, role, or seniority in a pay structure.
  • E. salaryProtection
    Indicates that an arrangement exists to maintain or safeguard an individual's salary level against reduction under certain conditions.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fdd5608190815fa36485df8962 completed Feb. 28, 2026, 1:43 p.m.
PD Predicate disambiguation batch_69a2edf90ca88190b6a182e5b6733612 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2eebb2c908190960a4d0c014304cd completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.