Triple

T17313934
Position Surface form Disambiguated ID Type / Status
Subject Organon model of language E420371 entity
Predicate emphasizesFunction P65476 FINISHED
Object expression function 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: expression function | Statement: [Organon model of language, emphasizesFunction, expression function]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: emphasizesFunction
Context triple: [Organon model of language, emphasizesFunction, expression function]
  • A. hasEmphasis
    Indicates that one element is given special stress, importance, or prominence relative to others.
  • B. positionEmphasized
    Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
  • C. emphasizesConsonanceOf
    Indicates that one entity highlights, stresses, or draws attention to the harmony, agreement, or consonant relationship between itself and another entity.
  • D. designEmphasizes chosen
    Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
  • E. normativelyEmphasizes
    Indicates that one entity highlights, prioritizes, or stresses another entity as a standard, value, or principle that ought to be followed or given special importance.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399b4dcc8190996d79d04ba88795 completed April 19, 2026, 2:10 a.m.
PD Predicate disambiguation batch_69e3b01b9d1c8190a406dd941c9b11a1 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:43 a.m.