Triple

T38075175
Position Surface form Disambiguated ID Type / Status
Subject Bauska Castle E950692 entity
Predicate partlyRestored P38760 FINISHED
Object true 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: true | Statement: [Bauska Castle, partlyRestored, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partlyRestored
Context triple: [Bauska Castle, partlyRestored, true]
  • A. partiallyRestored chosen
    Indicates that an entity has been brought back toward a previous or original state, but the restoration is incomplete or only partially achieved.
  • B. restoredInPart
    Indicates that something has been brought back to a previous or improved state, but only partially rather than fully.
  • C. partlyRebuilt
    Indicates that an entity has been reconstructed or restored to some extent, but not fully.
  • D. partiallyPreserved
    Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
  • E. partiallyDestroyed
    Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
  • 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcc42cbac48190b8d3e4c9ce140838 completed May 7, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69fcb0fc69c88190800453eb57a7e62c completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:21 p.m.