Triple

T16828227
Position Surface form Disambiguated ID Type / Status
Subject Norman church reforms E409076 entity
Predicate hadArchitecturalExpression P16767 FINISHED
Object Norman Romanesque cathedrals 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: Norman Romanesque cathedrals | Statement: [Norman church reforms, hadArchitecturalExpression, Norman Romanesque cathedrals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadArchitecturalExpression
Context triple: [Norman church reforms, hadArchitecturalExpression, Norman Romanesque cathedrals]
  • A. hasArchitecturalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
  • B. architecturalWork
    Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
  • C. architecturalUse
    Indicates how a structure, space, or element is intended to be used or function within an architectural context.
  • D. hasArchitecturalMaterial
    Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
  • E. architecturalInfluence chosen
    Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3151350819097b1c375e6df8986 completed April 18, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69e32b814b188190aee525f8779203cd completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.