Triple

T99112
Position Surface form Disambiguated ID Type / Status
Subject Paymaster of the Forces E1999 entity
Predicate hasRisk P583 FINISHED
Object opportunities for corruption 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: opportunities for corruption | Statement: [Paymaster of the Forces, hasRisk, opportunities for corruption]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRisk
Context triple: [Paymaster of the Forces, hasRisk, opportunities for corruption]
  • A. susceptibleTo chosen
    Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
  • B. hazardType
    Indicates the specific kind or category of hazard associated with an entity or situation.
  • C. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. threatenedBy
    Indicates that one entity poses a danger or potential harm to another entity.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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.