Triple

T29312508
Position Surface form Disambiguated ID Type / Status
Subject country estate Tannenhof E743278 entity
Predicate hasArchitecturalPreservation P183721 FINISHED
Object high 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: high | Statement: [country estate Tannenhof, hasArchitecturalPreservation, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArchitecturalPreservation
Context triple: [country estate Tannenhof, hasArchitecturalPreservation, high]
  • A. hasArchitecturalSignificance
    Indicates that something possesses notable architectural qualities, importance, or influence that make it worthy of special attention or recognition.
  • B. hasArchitecturalCommemoration
    Indicates that one entity is honored or memorialized by another entity through an architectural work or structure.
  • C. hasArchitecturalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
  • D. hasArchitecturalSite
    Indicates that an entity possesses, contains, or is associated with a specific architectural site.
  • E. hasHistoricPreservationProgram
    Indicates that an entity maintains an official program or initiative dedicated to preserving and protecting historic buildings, sites, or cultural resources.
  • 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_69f0912502c8819087d9e8398ee991a8 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f7a283388c81908e4a9ee3369e8d6f completed May 3, 2026, 7:31 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
PDg Predicate description generation batch_69f7a224365081908ff6958e3b30bd05 completed May 3, 2026, 7:29 p.m.
Created at: April 28, 2026, 1:17 p.m.