Triple

T2157940
Position Surface form Disambiguated ID Type / Status
Subject Sound Archive E47933 entity
Predicate preservationActivity P21580 FINISHED
Object digitisation of sound recordings 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: digitisation of sound recordings | Statement: [Sound Archive, preservationActivity, digitisation of sound recordings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preservationActivity
Context triple: [Sound Archive, preservationActivity, digitisation of sound recordings]
  • A. preservationFocus
    Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
  • B. preservationEnvironment
    Indicates the specific environmental conditions or setting in which something is kept to ensure its long-term preservation.
  • C. preservationMethod chosen
    Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
  • D. aimsToPreserve
    Indicates an intention or effort by one entity to maintain, protect, or keep another entity in its current or desired state.
  • E. stateOfPreservation
    Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe68fe0c8190beb5db003738a6e5 completed March 7, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69abbd9a60648190b20b116be5c7ad98 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.