Triple

T9247798
Position Surface form Disambiguated ID Type / Status
Subject Shenandoah E222241 entity
Predicate hasNotableArrangement P40307 FINISHED
Object arrangements for mixed choir — 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: arrangements for mixed choir | Statement: [Shenandoah, hasNotableArrangement, arrangements for mixed choir]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableArrangement
Context triple: [Shenandoah, hasNotableArrangement, arrangements for mixed choir]
  • A. notableArrangementType
    Indicates that one entity is characterized by or associated with a particular notable type of arrangement or configuration of another entity.
  • B. hasArrangement
    Indicates that one entity possesses, follows, or is organized according to a particular configuration, setup, or ordering defined by another entity.
  • C. hasLiveArrangement
    Indicates that there is an active, ongoing arrangement or agreement currently in effect between the related entities.
  • D. hasNotableComposer
    Indicates that an entity is associated with a composer who is recognized as particularly significant or distinguished.
  • E. hasArrangementFor chosen
    Indicates that one entity has an established plan, setup, or provision in place to accommodate, support, or serve another entity or purpose.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f55a848190a59e7087cc07f6ef completed April 1, 2026, 11:48 a.m.
PD Predicate disambiguation batch_69cc7a4e79e48190b3200247f4624867 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:31 p.m.