Triple

T21424153
Position Surface form Disambiguated ID Type / Status
Subject Educator 64 E528508 entity
Predicate hasCartridgePort P139791 FINISHED
Object yes LITERAL 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: yes | Statement: [Educator 64, hasCartridgePort, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCartridgePort
Context triple: [Educator 64, hasCartridgePort, yes]
  • A. hasCartridgeSlot chosen
    Indicates that an object includes a dedicated slot or receptacle designed to accept and hold a cartridge.
  • B. requiresCartridgeSlotOf
    Indicates that one entity needs to use or be connected to the cartridge slot provided by another entity in order to function or be compatible.
  • C. hasCartridgesOrPods
    Indicates that an entity possesses or is associated with cartridges or pods used for its operation or function.
  • D. hasParentCartridge
    Indicates that one cartridge is derived from, contained within, or otherwise hierarchically related as a child to another cartridge designated as its parent.
  • E. hasUSBPort
    Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813b798c8190a379cbf6cc6e14d2 completed April 26, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69e61639ee288190889ffd500d1260f6 completed April 20, 2026, 12:04 p.m.
Created at: April 16, 2026, 5:48 p.m.