Triple

T18016488
Position Surface form Disambiguated ID Type / Status
Subject Faster R-CNN E431008 entity
Predicate codeAvailableIn P54244 FINISHED
Object Caffe NE NERFINISHED

How this triple was built (3 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: Caffe | Statement: [Faster R-CNN, codeAvailableIn, Caffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caffe
Context triple: [Faster R-CNN, codeAvailableIn, Caffe]
  • A. Caffe chosen
    Caffe is an open-source deep learning framework known for its speed and modular design, widely used in computer vision research and applications.
  • B. Koffee
    Koffee is a Jamaican reggae and dancehall singer, songwriter, and rapper known for her Grammy-winning EP "Rapture" and hit single "Toast."
  • C. CAFE
    CAFE is a U.S. regulatory program that sets mandatory fuel efficiency standards for cars and light trucks to reduce energy consumption and emissions.
  • D. Cappachino
    Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
  • E. Café au Lait
    Café au Lait is one of the short, conversational vignettes in Jim Jarmusch’s film "Coffee and Cigarettes," featuring characters chatting over coffee in a minimalist, black-and-white setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: codeAvailableIn
Context triple: [Faster R-CNN, codeAvailableIn, Caffe]
  • A. hasCodeIn chosen
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • B. availableInClass
    Indicates that something can be accessed, used, or is valid within the scope of a particular class.
  • C. codeFor
    Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
  • D. sourceAvailable
    Indicates that the underlying source code or origin of an entity is accessible or obtainable.
  • E. canBeImplementedWith
    Indicates that one entity is capable of being realized, executed, or fulfilled through the use or application of another entity.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9be5d0c819097e006f32d98753a completed April 19, 2026, 11:17 a.m.
PD Predicate disambiguation batch_69e3f904b8048190add43883cd7cb191 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:24 a.m.