Triple

T37546937
Position Surface form Disambiguated ID Type / Status
Subject Cramér–Lundberg model E933487 entity
Predicate typicalAssumptionOnClaims P7027 FINISHED
Object claim sizes have finite mean 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: claim sizes have finite mean | Statement: [Cramér–Lundberg model, typicalAssumptionOnClaims, claim sizes have finite mean]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAssumptionOnClaims
Context triple: [Cramér–Lundberg model, typicalAssumptionOnClaims, claim sizes have finite mean]
  • A. typicalAssumption chosen
    Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
  • B. normativeClaim
    Indicates that one entity makes or embodies a value-laden judgment about how something ought to be, what should be done, or what is right or wrong regarding another entity or situation.
  • C. typicalClaimValue
    Indicates the value that is normally or most commonly claimed in this context, representing a standard or representative claim amount.
  • D. typicalClaimsTested
    Indicates that the usual or standard claims associated with something have been examined or verified through testing.
  • E. assumes
    Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
  • 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_69f76eca55bc8190acf25741793d5dac completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.