Triple

T23277534
Position Surface form Disambiguated ID Type / Status
Subject Kurzweil PC2 E588762 entity
Predicate hasKeyCount P27181 FINISHED
Object 76 keys 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: 76 keys | Statement: [Kurzweil PC2, hasKeyCount, 76 keys]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyCount
Context triple: [Kurzweil PC2, hasKeyCount, 76 keys]
  • A. hasKeyQuantity chosen
    Indicates that an entity is associated with a primary or defining quantity that characterizes or measures it.
  • B. hasKeyStructure
    Indicates that one entity possesses or defines the primary structural framework or core structural pattern of another entity.
  • C. hasKeyDimension
    Indicates that one entity possesses or defines a primary, essential dimension or parameter that characterizes another entity.
  • D. hasKeyFunction
    Indicates that one entity serves as a primary or essential function or role for another entity.
  • E. hasKeyGroup
    Indicates that an entity is associated with a particular key group that governs or organizes its access, classification, or control.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19578adf48190bdb129a55f86172c completed April 29, 2026, 5:22 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:49 p.m.