Triple

T99110
Position Surface form Disambiguated ID Type / Status
Subject Paymaster of the Forces E1999 entity
Predicate confersPower P168 FINISHED
Object control over large sums of public money 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: control over large sums of public money | Statement: [Paymaster of the Forces, confersPower, control over large sums of public money]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: confersPower
Context triple: [Paymaster of the Forces, confersPower, control over large sums of public money]
  • A. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • B. regainedPowerIn
    Indicates that an entity has recovered or reestablished its previous level of power, control, or authority within a specified context or domain.
  • C. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • D. regainedPowerAgainIn
    Indicates that an entity, having previously lost power, has once more returned to a position of power or control within a specified context or location.
  • E. grantedTo chosen
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a253b95d4c81909d1f2bc37e799c44 completed Feb. 28, 2026, 2:32 a.m.
PD Predicate disambiguation batch_69a24ebfc5a88190bdd1653b9fa541fe completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.