Triple

T17920361
Position Surface form Disambiguated ID Type / Status
Subject Gilwiskaw Brook E448049 entity
Predicate waterUseConstraints P44590 FINISHED
Object regulated due to ecological sensitivity 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: regulated due to ecological sensitivity | Statement: [Gilwiskaw Brook, waterUseConstraints, regulated due to ecological sensitivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterUseConstraints
Context triple: [Gilwiskaw Brook, waterUseConstraints, regulated due to ecological sensitivity]
  • A. waterUseRestrictions chosen
    Indicates that there are rules or limitations imposed on how much, when, or for what purposes water may be used.
  • B. waterUse
    Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
  • C. hasWaterUse
    Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
  • D. waterAllocatedTo
    Indicates that a specified amount or portion of water has been designated or assigned for use by a particular entity, location, or purpose.
  • E. waterQualityUse
    Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a309532881908633bd723923880f completed April 19, 2026, 9:40 a.m.
PD Predicate disambiguation batch_69e3d8ec2f6881909d7f54b878cbed37 completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:20 a.m.