Triple

T17112967
Position Surface form Disambiguated ID Type / Status
Subject Fossanova E415270 entity
Predicate hasArchitecturalContextNearby P125997 FINISHED
Object Romanesque-Gothic 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: Romanesque-Gothic architecture | Statement: [Fossanova, hasArchitecturalContextNearby, Romanesque-Gothic architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalContextNearby
Context triple: [Fossanova, hasArchitecturalContextNearby, Romanesque-Gothic architecture]
  • A. hasNearbyInfrastructureType
    Indicates that an entity is located close to infrastructure of a specified type.
  • B. hasNeighboringBuilding
    Indicates that one building is located adjacent to or directly next to another building.
  • C. hasDesignationNearby
    Indicates that one entity has a designation (such as a label, title, or marker) located in close physical or contextual proximity to another entity.
  • D. hasNearbyCivicBuilding
    Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
  • E. hasOpenSpaceNearby
    Indicates that an entity is located near or adjacent to an area that is open, unobstructed, or undeveloped.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8033840819083e9a506e48c31b4 completed April 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69e35d6b1b988190a8d6b6fe78c35e59 completed April 18, 2026, 10:31 a.m.
PDg Predicate description generation batch_69e37542d060819082aa73948eb8ebd4 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:35 a.m.