Triple

T33713477
Position Surface form Disambiguated ID Type / Status
Subject Norwegian energy market E863806 entity
Predicate hasMultiplePriceAreas P195196 FINISHED
Object true 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: true | Statement: [Norwegian energy market, hasMultiplePriceAreas, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultiplePriceAreas
Context triple: [Norwegian energy market, hasMultiplePriceAreas, true]
  • A. hasPriceUnit
    Indicates that a price value is expressed in a specific unit of currency or measurement.
  • B. hasMultipleDistances
    Indicates that a relationship or connection involves more than one distinct distance or separation value between the related entities.
  • C. hasServiceAreas
    Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
  • D. hasMarketPriceRange
    Indicates that an entity is associated with a specified range of possible market prices at which it can be bought or sold.
  • E. supportsMultiplePLPs
    Indicates that an entity is capable of handling or being associated with more than one PLP (Product Listing Page) at the same time.
  • F. None of above. chosen

Provenance (4 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fdb04ed81c8190b8feea90c1c785a6 completed May 8, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69fda9d6c5148190a63205b6d9b0a1b4 completed May 8, 2026, 9:16 a.m.
PDg Predicate description generation batch_69fdb04d37288190969a0f39d92efb49 completed May 8, 2026, 9:43 a.m.
Created at: May 1, 2026, 1:43 a.m.