Triple

T28549007
Position Surface form Disambiguated ID Type / Status
Subject "Let's Celebrate!" E722827 entity
Predicate pragmaticUse P112228 FINISHED
Object to invite others to join in a celebration 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: to invite others to join in a celebration | Statement: ["Let's Celebrate!", pragmaticUse, to invite others to join in a celebration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pragmaticUse
Context triple: ["Let's Celebrate!", pragmaticUse, to invite others to join in a celebration]
  • A. pragmaticFunction chosen
    Indicates the role or purpose that an utterance or expression serves in context, such as its communicative intent or discourse function beyond literal meaning.
  • B. pragmaticStatus
    Indicates the discourse or conversational role that an element plays in context, such as whether it is given, new, focused, or background information.
  • C. actualUse
    Indicates that an entity is currently being used or utilized in practice, as opposed to being merely available, planned, or potential.
  • D. linguisticUsage
    Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
  • E. exportUse
    Indicates that something is used, intended, or suitable for export from one place or market to another.
  • 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_69f01a60204481909af1bb76247b8221 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f6500f8ae48190b4f5bd98b505c037 completed May 2, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69f64cb0d8008190912e1430cfaf92aa completed May 2, 2026, 7:12 p.m.
Created at: April 28, 2026, 3:41 a.m.