Triple

T15694553
Position Surface form Disambiguated ID Type / Status
Subject Mytholmroyd Flood Alleviation Scheme E380423 entity
Predicate riskReduction P117906 FINISHED
Object reduced probability of river flooding 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: reduced probability of river flooding | Statement: [Mytholmroyd Flood Alleviation Scheme, riskReduction, reduced probability of river flooding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskReduction
Context triple: [Mytholmroyd Flood Alleviation Scheme, riskReduction, reduced probability of river flooding]
  • A. riskReductionFor chosen
    Indicates a relationship where one entity decreases or mitigates the level of risk associated with another entity or situation.
  • B. riskElement
    Indicates that one entity is a risk-related component, factor, or contributor associated with another entity within a risk context.
  • C. riskAddressed
    Indicates that a particular risk has been identified and is being mitigated, managed, or otherwise handled by an associated action, control, or measure.
  • D. risk
    Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
  • E. riskType
    Indicates the category or nature of risk associated with an entity, event, or relationship.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0051d639481909a10614e8f83e659 completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:44 a.m.