Triple

T11421740
Position Surface form Disambiguated ID Type / Status
Subject Grand River E270638 entity
Predicate hasHydroelectricPotential P27462 FINISHED
Object high 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: high | Statement: [Grand River, hasHydroelectricPotential, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHydroelectricPotential
Context triple: [Grand River, hasHydroelectricPotential, high]
  • A. hydropowerPotential chosen
    Indicates the amount of energy that could be generated from water resources at a given site or region under specified conditions.
  • B. hasHydroelectricProject
    Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
  • C. isHydroelectricProjectOn
    Indicates that a hydroelectric project is located on or situated along a specified water body or site.
  • D. hasRenewableEnergyPotential
    Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
  • E. hasHydroelectricDevelopments
    Indicates that one entity possesses, contains, or is associated with hydroelectric power generation installations or projects.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
PD Predicate disambiguation batch_69d7e71436f88190ac7e45a04ea5c987 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.