Triple

T5354109
Position Surface form Disambiguated ID Type / Status
Subject Shungnak E102647 entity
Predicate hasUtilityInfrastructure P2560 FINISHED
Object diesel-generated electricity 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: diesel-generated electricity | Statement: [Shungnak, hasUtilityInfrastructure, diesel-generated electricity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUtilityInfrastructure
Context triple: [Shungnak, hasUtilityInfrastructure, diesel-generated electricity]
  • A. hasCommercialInfrastructure
    Indicates that an entity possesses or is equipped with facilities, systems, or structures that support commercial or business activities.
  • B. hasInfrastructureType chosen
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • C. isPartOfInfrastructure
    Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
  • D. usesInfrastructure
    Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
  • E. hasMajorTransportInfrastructure
    Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69bd845c6f108190832a8d14b356368a completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:01 p.m.