Triple

T37172877
Position Surface form Disambiguated ID Type / Status
Subject Norwegian government compensation schemes E920960 entity
Predicate typeOfLossCovered P38809 FINISHED
Object loss of property 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: loss of property | Statement: [Norwegian government compensation schemes, typeOfLossCovered, loss of property]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLossCovered
Context triple: [Norwegian government compensation schemes, typeOfLossCovered, loss of property]
  • A. typeOfDiscriminationCovered
    Indicates that a particular kind or category of discriminatory behavior is included within the scope of protections, rules, or analysis.
  • B. typeOfCoverage chosen
    Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
  • C. typeOfHeritageCovered
    Indicates that something specifies the category or kind of heritage (e.g., cultural, natural, mixed) that is included or protected in a given context.
  • D. liabilityType
    Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
  • E. riskCoverage
    Indicates the extent to which a particular risk is protected against, mitigated, or compensated for by a policy, measure, or arrangement.
  • 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_69f76ea16f288190b445aa1604d996f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a0353887e848190ad98ecbbe7bbc061 completed May 12, 2026, 4:21 p.m.
PD Predicate disambiguation batch_6a0352dfb5648190b9f8c9b7c388d2a1 completed May 12, 2026, 4:18 p.m.
Created at: May 3, 2026, 4:15 p.m.