Triple

T32902557
Position Surface form Disambiguated ID Type / Status
Subject Vienna version E841649 entity
Predicate hasRevisedStructureComparedTo P140564 FINISHED
Object Dresden version 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: Dresden version | Statement: [Vienna version, hasRevisedStructureComparedTo, Dresden version]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRevisedStructureComparedTo
Context triple: [Vienna version, hasRevisedStructureComparedTo, Dresden version]
  • A. hasRevisedOrigin
    Indicates that the origin of an entity has been updated or modified from its previous or initial state.
  • B. hasModificationComparedTo
    Indicates that one entity differs from another by having a specific change, adjustment, or alteration relative to it.
  • C. hasFormerStructure
    Indicates that an entity previously had a particular structural form or configuration that has since changed.
  • D. hasStructureHistory
    Indicates that there exists a record or account detailing the past states, changes, or development of a structure over time.
  • E. hasRedevelopedStructure chosen
    Indicates that an existing structure has been significantly modified, rebuilt, or upgraded from its original state.
  • 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_69f34946a5208190bbd79f0fec4323bd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a031e24299c81908dcbbf1b88f43dfd completed May 12, 2026, 12:33 p.m.
PD Predicate disambiguation batch_6a031ce232a48190b62bca3e94162f2f completed May 12, 2026, 12:28 p.m.
Created at: May 1, 2026, 1:19 a.m.