Triple

T15236969
Position Surface form Disambiguated ID Type / Status
Subject Orange Krush E364149 entity
Predicate associatedWithColor P60 FINISHED
Object Illinois blue E99597 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: Illinois blue | Statement: [Orange Krush, associatedWithColor, Illinois blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illinois blue
Context triple: [Orange Krush, associatedWithColor, Illinois blue]
  • A. Teal
    Teal is the entry-level membership tier in the WestJet Rewards loyalty program, offering basic benefits and the foundation for earning and redeeming WestJet dollars.
  • B. Dark Blue
    Dark Blue is a 2002 crime drama film set in Los Angeles that explores police corruption and moral ambiguity, directed by Ron Shelton and written by David Ayer.
  • C. Dark Blue
    Dark Blue is an American crime drama television series that follows an undercover police unit as they infiltrate Los Angeles criminal organizations.
  • D. French Blue
    French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
  • E. Columbia blue chosen
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007da7e988190925a9b67b8070bc7 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3f9d308190af5374f0362c62f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.