Triple

T22919556
Position Surface form Disambiguated ID Type / Status
Subject Royal Crown Company, Inc. E568821 entity
Predicate ownsBrand P1500 FINISHED
Object Upper 10 NE NERFINISHED

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: Upper 10 | Statement: [Royal Crown Company, Inc., ownsBrand, Upper 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Upper 10
Context triple: [Royal Crown Company, Inc., ownsBrand, Upper 10]
  • A. Upper 10 chosen
    Upper 10 is a lemon-lime flavored soft drink brand that served as Royal Crown Cola Company's answer to competitors like 7UP and Sprite.
  • B. Upper Dir
    Upper Dir is a mountainous district in Pakistan’s Khyber Pakhtunkhwa province, known for its rugged terrain, river valleys, and proximity to the Hindu Kush range.
  • C. U15
    U15 is a light rail line of the Stuttgart Stadtbahn network serving various districts within the Stuttgart metropolitan area.
  • D. U15
    U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
  • E. U16
    U16 is a line of the Stuttgart Stadtbahn light rail network serving urban and suburban areas of Stuttgart, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d316188190901d9356c07110e3 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:42 p.m.