Triple

T32902555
Position Surface form Disambiguated ID Type / Status
Subject Vienna version E841649 entity
Predicate hasSignificantChangeComparedTo P22446 FINISHED
Object Dresden version NE NERFINISHED

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, hasSignificantChangeComparedTo, Dresden version]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSignificantChangeComparedTo
Context triple: [Vienna version, hasSignificantChangeComparedTo, Dresden version]
  • A. hasChangedOverTime
    Indicates that the state, value, or characteristics of an entity or relationship have become different at some point across a period of time.
  • B. hasSignificant
    Indicates that one entity possesses or exhibits a level of importance, impact, or relevance that is notably large or meaningful in relation to another entity or context.
  • C. hasNotableDelta chosen
    Indicates that there is a significant or noteworthy change or difference between two compared entities or states.
  • D. changedAfter
    Indicates that one entity underwent a change at a point in time that is later than the time at which another referenced entity changed.
  • E. hasDelta
    Indicates that there is a change, difference, or deviation between two related states, values, or versions of something.
  • 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_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 1, 2026, 1:19 a.m.