Triple

T35997069
Position Surface form Disambiguated ID Type / Status
Subject Lyubytino E1041015 entity
Predicate hasArchitecturalHeritageType P5929 FINISHED
Object wooden architecture 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: wooden architecture | Statement: [Lyubytino, hasArchitecturalHeritageType, wooden architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalHeritageType
Context triple: [Lyubytino, hasArchitecturalHeritageType, wooden architecture]
  • A. hasArchitecturalPreservation
    Indicates that something is subject to or benefits from measures aimed at preserving its architectural features or heritage.
  • B. heritageType chosen
    Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
  • C. hasHeritageValueFor
    Indicates that something possesses cultural, historical, or heritage significance for a particular entity or community.
  • D. hasArchitecturalSignificance
    Indicates that something possesses notable architectural qualities, importance, or influence that make it worthy of special attention or recognition.
  • E. heritageProtectionType
    Indicates the specific kind or category of legal or formal protection applied to a heritage asset or site.
  • 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_69f76e29084c819083987b828d414de7 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
Created at: May 3, 2026, 4:07 p.m.