Triple

T16007030
Position Surface form Disambiguated ID Type / Status
Subject Coso volcanic field E388244 entity
Predicate geothermalPowerUse P3796 FINISHED
Object electricity generation 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: electricity generation | Statement: [Coso volcanic field, geothermalPowerUse, electricity generation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: geothermalPowerUse
Context triple: [Coso volcanic field, geothermalPowerUse, electricity generation]
  • A. hasGeothermalPotential
    Indicates that an entity possesses conditions suitable for generating or exploiting geothermal energy.
  • B. usedPowerplantsFrom
    Indicates that an entity has utilized or drawn energy from the specified power plants.
  • C. hasThermalWaterUse chosen
    Indicates that something makes use of thermal water, typically for purposes such as heating, bathing, energy production, or therapeutic applications.
  • D. energyUse
    Indicates the amount or rate at which an entity consumes energy to perform its functions or activities.
  • E. thermalPower
    Indicates the amount of heat energy per unit time that a system, device, or process generates, transfers, or consumes.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e173b3bf6c81909230170e833d7ce7 completed April 16, 2026, 11:41 p.m.
PD Predicate disambiguation batch_69e142dc081c819082527e3fa8773460 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:55 a.m.