Triple

T4068985
Position Surface form Disambiguated ID Type / Status
Subject Pacific Blue E86596 entity
Predicate hasSubBrand P6092 FINISHED
Object Pacific Blue Ultra E86596 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: Pacific Blue Ultra | Statement: [Pacific Blue, hasSubBrand, Pacific Blue Ultra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacific Blue Ultra
Context triple: [Pacific Blue, hasSubBrand, Pacific Blue Ultra]
  • A. Pacific Blue chosen
    Pacific Blue is a Georgia-Pacific brand offering commercial paper towels, tissues, and related hygiene and cleaning products for businesses and institutions.
  • B. Cool Blue
    Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
  • C. Double Blue
    Double Blue is a popular nickname for the Toronto Argonauts of the Canadian Football League, referencing the team’s traditional double-shaded blue color scheme.
  • D. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • E. Into the Blue
    Into the Blue is a 2005 action-thriller film about a group of divers who discover a sunken plane full of drugs, starring Paul Walker and Jessica Alba.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf8f33c8190a6afca1830f35485 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b58731c81908058702880120335 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:38 p.m.