Triple

T5159405
Position Surface form Disambiguated ID Type / Status
Subject Quincy, Washington E116395 entity
Predicate dataCenterAttractionFactor P40662 FINISHED
Object cheap 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: cheap electricity | Statement: [Quincy, Washington, dataCenterAttractionFactor, cheap electricity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dataCenterAttractionFactor
Context triple: [Quincy, Washington, dataCenterAttractionFactor, cheap electricity]
  • A. dataCenterLocation
    Indicates the geographical or physical location where a data center is situated or hosted.
  • B. visitorAttractionRank
    Indicates the relative ranking or position of a visitor attraction compared to other attractions, typically based on popularity, quality, or importance.
  • C. relatedAttraction
    Indicates that one attraction is associated with or connected to another attraction in some relevant way.
  • D. isMajorAttractionFor
    Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
  • E. attractionBasedOn chosen
    Indicates a relationship where one entity is drawn to or interested in another specifically because of certain attributes, qualities, or characteristics that the latter possesses.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c1354c81908176703b4853c1a4 completed March 20, 2026, 4:45 p.m.
PD Predicate disambiguation batch_69bd77b0fbb88190851e2d7ae1bdcc09 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:44 p.m.