Triple

T20794680
Position Surface form Disambiguated ID Type / Status
Subject Area Risk Protection Insurance E511880 entity
Predicate riskCovered P110604 FINISHED
Object yield shortfall 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: yield shortfall | Statement: [Area Risk Protection Insurance, riskCovered, yield shortfall]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskCovered
Context triple: [Area Risk Protection Insurance, riskCovered, yield shortfall]
  • A. riskCoverage chosen
    Indicates the extent to which a particular risk is protected against, mitigated, or compensated for by a policy, measure, or arrangement.
  • B. riskTakenFor
    Indicates that one entity accepts or undertakes a risk for the benefit, protection, or sake of another entity.
  • C. riskTaken
    Indicates that an entity has undertaken an action or decision involving exposure to potential loss, harm, or uncertainty.
  • D. riskAddressed
    Indicates that a particular risk has been identified and is being mitigated, managed, or otherwise handled by an associated action, control, or measure.
  • E. riskElement
    Indicates that one entity is a risk-related component, factor, or contributor associated with another entity within a risk context.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2abbcc8819091bb0225a0650ab6 completed April 21, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e5c0575b1c81908d010223fcd1213e completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:39 p.m.