Triple

T4473650
Position Surface form Disambiguated ID Type / Status
Subject Black Bourton E98553 entity
Predicate hasHeritageInterest P56748 FINISHED
Object medieval church 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: medieval church architecture | Statement: [Black Bourton, hasHeritageInterest, medieval church architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHeritageInterest
Context triple: [Black Bourton, hasHeritageInterest, medieval church architecture]
  • A. hasHeritage
    Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
  • B. hasHeritageValueFor
    Indicates that something possesses cultural, historical, or heritage significance for a particular entity or community.
  • C. hasHeritageFeature
    Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
  • D. hasHeritageOrganization
    Indicates that an entity is associated with, or belongs to, a particular heritage-related organization.
  • E. culturalHeritageIncludes
    Indicates that a cultural heritage entity encompasses, contains, or incorporates another cultural element, tradition, artifact, or practice as part of its overall heritage.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35728ed508190ba0e882fa62d8848 completed March 13, 2026, 12:15 a.m.
PD Predicate disambiguation batch_69b3563d63008190816e37027e761375 completed March 13, 2026, 12:11 a.m.
PDg Predicate description generation batch_69b35727a8ac819090420bd3e2cfbcf1 completed March 13, 2026, 12:15 a.m.
Created at: March 12, 2026, 11:35 p.m.