Triple

T2850548
Position Surface form Disambiguated ID Type / Status
Subject Europe and North America E63081 entity
Predicate hasTypeOfHeritage P43411 FINISHED
Object cultural 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: cultural | Statement: [Europe and North America, hasTypeOfHeritage, cultural]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfHeritage
Context triple: [Europe and North America, hasTypeOfHeritage, cultural]
  • A. hasHeritage
    Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
  • B. typeOfInheritance
    Indicates the kind or pattern of inheritance by which a trait, property, or characteristic is passed from one entity or generation to another.
  • C. hasHeritageCriteria
    Indicates that something is associated with specific heritage criteria that define its cultural, historical, or natural significance.
  • D. hasHeritageFeature
    Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
  • E. hasHeritageContext
    Indicates that something is associated with, influenced by, or situated within a particular cultural, historical, or heritage-related context.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf437328819098506ec8a3a23e11 completed March 7, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69abdd0e86808190bcefffafbd3cd441 completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde2cdcc48190827195d3ae70aa19 completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 10:02 p.m.