Triple

T26380460
Position Surface form Disambiguated ID Type / Status
Subject The Marathon Clothing E661007 entity
Predicate hasMerchLine P45835 FINISHED
Object The Marathon 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: The Marathon | Statement: [The Marathon Clothing, hasMerchLine, The Marathon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMerchLine
Context triple: [The Marathon Clothing, hasMerchLine, The Marathon]
  • A. hasClothingLine
    Indicates that an entity owns, produces, or is associated with a specific line or brand of clothing.
  • B. hasProduct
    Indicates that an entity possesses, offers, or is associated with a particular product.
  • C. hasMerchandiseTieIn chosen
    Indicates that one entity has a commercial or promotional product or line (merchandise) that is directly tied to, branded with, or derived from another entity.
  • D. fanMerchandiseAvailable
    Indicates that merchandise related to a fan or fandom is available for purchase or acquisition.
  • E. hasSalesComponent
    Indicates that something includes, involves, or is associated with a sales-related element or function.
  • F. None of above.

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_69ee812a698881908d6a58265995fa39 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 26, 2026, 11:04 p.m.