Triple

T36873801
Position Surface form Disambiguated ID Type / Status
Subject Three Lakes Region water network E911288 entity
Predicate controlsFloodRiskFor P124979 FINISHED
Object Three Lakes Region NE NERFINISHED

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: Three Lakes Region | Statement: [Three Lakes Region water network, controlsFloodRiskFor, Three Lakes Region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlsFloodRiskFor
Context triple: [Three Lakes Region water network, controlsFloodRiskFor, Three Lakes Region]
  • A. managesFloodRisk chosen
    Indicates a relationship where one entity takes actions or implements measures to control, reduce, or mitigate the risk and impact of flooding on another entity or area.
  • B. hasFloodRiskRelevance
    Indicates that something is pertinent to, affects, or is used in assessing the risk or likelihood of flooding.
  • C. hasFloodRisk
    Indicates that an entity is exposed to a potential or expected risk of flooding under certain conditions.
  • D. hasFloodRiskManagementPlan
    Indicates that an entity has an established plan or strategy in place for managing and mitigating flood risks.
  • E. designedForFloodMitigationOf
    Indicates that something is specifically created or configured to reduce, control, or manage flooding affecting a particular entity or area.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff246e0d4481908bcec718e1d4025b completed May 9, 2026, 12:11 p.m.
PD Predicate disambiguation batch_69ff23cb70ac81909b776ace4597ae9c completed May 9, 2026, 12:08 p.m.
Created at: May 3, 2026, 4:13 p.m.