Triple

T33713495
Position Surface form Disambiguated ID Type / Status
Subject Norwegian energy market E863806 entity
Predicate hasSignificantStorageCapacity P52985 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, hasSignificantStorageCapacity, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignificantStorageCapacity
Context triple: [Norwegian energy market, hasSignificantStorageCapacity, true]
  • A. hasStorage
    Indicates that one entity provides or contains storage capacity or space for another entity or resource.
  • B. dataCapacity
    Indicates the maximum amount of data that something can store, handle, or transmit.
  • C. storageCapacity chosen
    Indicates the maximum amount of data or material that a storage entity can hold.
  • D. hasExternalMemory
    Indicates that an entity is associated with or utilizes memory resources located outside its own primary or internal storage.
  • E. hasMemoryIn
    Indicates that an entity possesses or stores memory, information, or experiences within a specified context, location, or medium.
  • 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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fd68abf52881909c5a390c362b7c59 completed May 8, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69fd6812d0c88190930d8fa2d4b92490 completed May 8, 2026, 4:35 a.m.
Created at: May 1, 2026, 1:43 a.m.