Triple

T15398979
Position Surface form Disambiguated ID Type / Status
Subject Glassnote Records E368258 entity
Predicate distribution P1356 FINISHED
Object AWAL E507341 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: AWAL | Statement: [Glassnote Records, distribution, AWAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWAL
Context triple: [Glassnote Records, distribution, AWAL]
  • A. AWAL chosen
    AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
  • B. AW
    AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
  • C. AW
    AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
  • D. AW
    AW is the standard abbreviation for Atlantic Water, the relatively warm, salty water mass originating in the North Atlantic that influences ocean circulation and Arctic climate.
  • E. WAW
    WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13542c908190abf765b0530c76ce completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.