Triple

T8677527
Position Surface form Disambiguated ID Type / Status
Subject Laihia E205952 entity
Predicate hasNotableCulturalTheme P78619 FINISHED
Object humor about thriftiness 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: humor about thriftiness | Statement: [Laihia, hasNotableCulturalTheme, humor about thriftiness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCulturalTheme
Context triple: [Laihia, hasNotableCulturalTheme, humor about thriftiness]
  • A. hasCulturalSignificance
    Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
  • B. culturalThemes chosen
    Indicates that there is a relationship between entities where one embodies, expresses, or is associated with particular cultural themes present in or derived from the other.
  • C. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • D. hasCulturalFeature
    Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
  • E. isCulturalSignificance
    Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
PD Predicate disambiguation batch_69cc4567b5c881908d9ec5dcfc783fac completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:32 p.m.