Triple

T16679476
Position Surface form Disambiguated ID Type / Status
Subject Night Train E405300 entity
Predicate hasSingle P3282 FINISHED
Object Clear Skies E1226293 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: Clear Skies | Statement: [Night Train, hasSingle, Clear Skies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clear Skies
Context triple: [Night Train, hasSingle, Clear Skies]
  • A. Clear Skies chosen
    "Clear Skies" is a song featured on the "Night Train" EP, likely known as one of its standout tracks.
  • B. Clear Blue Skies
    "Clear Blue Skies" is a socially conscious hip-hop track by the duo Black Moon, known for its reflective lyrics and atmospheric production.
  • C. Sunny Skies
    "Sunny Skies" is a song by James Taylor from his 1970 album *Sweet Baby James*, reflecting his signature mellow folk-rock style and introspective lyrics.
  • D. Up in the Sky
    "Up in the Sky" is a song by English rock band Oasis from their debut album "Definitely Maybe," showcasing their early Britpop sound and attitude.
  • E. Eternal Blue Sky
    Eternal Blue Sky is a central sacred concept in Mongolian and Turkic cosmology, representing the divine, overarching sky that governs and protects the upper world.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6e74ec81909ea95c3e4b0113ab completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d32e7b48190b7dd4660bed4789d completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:19 a.m.