Triple

T8544742
Position Surface form Disambiguated ID Type / Status
Subject Barcelona E202288 entity
Predicate vocalStyleFusion P14839 FINISHED
Object rock vocals and operatic soprano 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: rock vocals and operatic soprano | Statement: [Barcelona, vocalStyleFusion, rock vocals and operatic soprano]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vocalStyleFusion
Context triple: [Barcelona, vocalStyleFusion, rock vocals and operatic soprano]
  • A. hasVocalStyleComparedTo
    Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
  • B. vocalTraining
    Indicates that one entity provides or engages in training aimed at improving another entity’s vocal or singing abilities.
  • C. vocalHarmonyType
    Indicates the specific kind or style of vocal harmony relationship that exists between the involved vocal parts or voices.
  • D. vocalForces
    Indicates a relationship where one entity uses vocal expression (such as speech, singing, or sound) to exert influence, pressure, or compulsion on another entity.
  • E. musicFusionOf chosen
    Indicates a relationship where one musical work, style, or element is created by combining or blending two or more distinct musical sources or genres.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e4e21c8190afcbca73713a5fa8 completed March 31, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cbd113e05c81908f4f3fc1b5925164 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:18 p.m.