Triple

T10572696
Position Surface form Disambiguated ID Type / Status
Subject Kaleidoscope Dream E249529 entity
Predicate hasTrack P3284 FINISHED
Object Arch & Point E249529 NE 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: Arch & Point | Statement: [Kaleidoscope Dream, hasTrack, Arch & Point]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arch & Point
Context triple: [Kaleidoscope Dream, hasTrack, Arch & Point]
  • A. Arch & Point chosen
    Arch & Point is a song featured on Miguel’s R&B album "Kaleidoscope Dream."
  • B. The Arch
    The Arch is a prominent themed stage at the Belgian electronic dance music festival Tomorrowland, known for its immersive design and large-scale DJ performances.
  • C. The Arch
    The Arch is a prominent outdoor sculpture displayed at Storm King Art Center, known for its striking form and integration with the surrounding landscape.
  • D. Archway
    Archway is a University College London campus site located in the Archway area of north London, primarily associated with medical and health-related teaching and research.
  • E. The Archway
    The Archway is a museum and monument in Kearney, Nebraska that spans Interstate 80 and showcases the history of American westward expansion and transportation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274929cc81909a79d5e2049f7389 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b55d0f88190bd6853603f67e88d completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.