Triple

T37661507
Position Surface form Disambiguated ID Type / Status
Subject End Midlands E937726 entity
Predicate hasAmbientSound P22084 FINISHED
Object End ambience 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: End ambience | Statement: [End Midlands, hasAmbientSound, End ambience]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAmbientSound
Context triple: [End Midlands, hasAmbientSound, End ambience]
  • A. hasAmbience
    Indicates that one entity provides or is characterized by a particular atmosphere, mood, or environmental quality experienced in or around another entity.
  • B. hasSound chosen
    Indicates that an entity produces, emits, or is associated with a particular sound.
  • C. containsSound
    Indicates that one entity includes, embodies, or produces the sound associated with another entity.
  • D. hasSoundEngine
    Indicates that one entity is equipped with or contains a sound engine component.
  • E. usesSound
    Indicates that one entity employs or relies on sound as a means or tool in relation to another entity or context.
  • 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaa1321b48190af92a3e7ec24ec5b completed May 6, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69fba8860f98819080b7bab05837b974 completed May 6, 2026, 8:45 p.m.
Created at: May 3, 2026, 4:18 p.m.