Triple

T22089894
Position Surface form Disambiguated ID Type / Status
Subject Coca-Cola bottle slide E545884 entity
Predicate shape P1464 FINISHED
Object Coca-Cola bottle 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: Coca-Cola bottle | Statement: [Coca-Cola bottle slide, shape, Coca-Cola bottle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coca-Cola bottle
Context triple: [Coca-Cola bottle slide, shape, Coca-Cola bottle]
  • A. Coca-Cola contour bottle chosen
    The Coca-Cola contour bottle is the brand’s iconic, curvy glass bottle design instantly recognizable worldwide as a symbol of Coca-Cola.
  • B. Pepsi Can
    Pepsi Can is a NASCAR race car paint scheme, notably used on Jeff Gordon’s No. 24 car, featuring bold Pepsi branding and colors that resemble a classic soda can design.
  • C. Bottle
    Bottle is a lightweight Python web framework used for building simple web applications and APIs in a single file.
  • D. Coke
    Coke is an English aristocratic family name historically associated with prominent peers, politicians, and landowners in Britain.
  • E. Koka Kola
    Koka Kola is a punk rock song by The Clash from their landmark 1979 album "London Calling," known for its satirical take on consumerism and corporate culture.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e47ba08190a208af72a7cc176f completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.