typicalPhrase

P132994
predicate

Indicates that the object is a phrase commonly or characteristically used in connection with the subject.

All labels observed (11)

Label Occurrences
customaryUtterance 5
catchphraseTheme 2
characteristicPhrase 2

Description generation (PDg)

The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.

Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning.  
# Instructions
Focus on describing the relationship, not the entities themselves. 
# Response Format
Begin the description with \' Indicates...\'
Input
Predicate: typicalPhrase
Generated description
Indicates that the object is a phrase commonly or characteristically used in connection with the subject.

Sample triples (18)

Subject Object
Collinses the Collinses NERFINISHED
Blood quill "I must not tell lies" via predicate surface "phraseExample"
Ceremony of the Keys "Halt! Who comes there?" via predicate surface "customaryUtterance"
Ceremony of the Keys "The Keys." via predicate surface "customaryUtterance" NERFINISHED
Ceremony of the Keys "Whose Keys?" via predicate surface "customaryUtterance"
Ceremony of the Keys "King Charles's Keys." via predicate surface "customaryUtterance" NERFINISHED
Ceremony of the Keys "Pass, King Charles's Keys. All's well." via predicate surface "customaryUtterance"
Vulcans Live long and prosper via predicate surface "salutationPhrase"
Chi featured in many Igbo proverbs via predicate surface "inIgboProverbialLore"
Chi used to explain fortune and misfortune via predicate surface "inIgboProverbialLore"
Raga Malkauns g M d n d M g via predicate surface "characteristicPhrase"
Raga Malkauns g M d M g via predicate surface "characteristicPhrase"
Roberto Durán in the 1980 "No Más" rematch No más via predicate surface "famousPhraseAssociated" NERFINISHED
“Say goodnight, Gracie” closing routine
surface form: "Say goodnight, Gracie" closing routine
Goodnight, Gracie via predicate surface "catchphraseText" NERFINISHED
Runway 23 “Cleared to land runway two three” via predicate surface "hasPhraseologyExample"
Bubba J beer via predicate surface "catchphraseTheme"
Bubba J NASCAR via predicate surface "catchphraseTheme" NERFINISHED
Scooby Snacks "Would you do it for a Scooby Snack?" via predicate surface "catchphraseContext"