Triple

T2481382
Position Surface form Disambiguated ID Type / Status
Subject Sevier River E55822 entity
Predicate waterManagement P19373 FINISHED
Object heavily diverted for irrigation 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: heavily diverted for irrigation | Statement: [Sevier River, waterManagement, heavily diverted for irrigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterManagement
Context triple: [Sevier River, waterManagement, heavily diverted for irrigation]
  • A. waterManagementAuthority
    Indicates that an entity has official responsibility for overseeing, regulating, or managing water resources, services, or infrastructure for a given area or system.
  • B. waterInfrastructure
    Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
  • C. waterUse chosen
    Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
  • D. managesWaterFrom
    Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
  • E. hasWaterManagementIssue
    Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20b6d008190acec0eb172e218c9 completed March 7, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69abd0b7cf088190bcff4dac6150044c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.