Triple

T6700486
Position Surface form Disambiguated ID Type / Status
Subject Hugo Award for Best Novella E152865 entity
Predicate wordCountRange P7605 FINISHED
Object 17500–40000 words LITERAL FINISHED

Disambiguation candidates (1 decision)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wordCountRange
Context triple: [Hugo Award for Best Novella, wordCountRange, 17500–40000 words]
  • A. wordCount chosen
    Indicates the total number of words contained in a given text or linguistic unit.
  • B. wordLength
    Indicates that there is a relationship specifying the number of characters (length) in a given word.
  • C. sentenceLength
    Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
  • D. hasApproximateNumberOfLetters
    Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
  • E. includesNumberingRange
    Indicates that one entity contains or covers a specified contiguous range of numbers associated with another entity.
  • F. None of above.

Provenance (3 batches)

Stage Batch ID Job type Status
creating batch_69c68807adbc8190b8632df42b39eda0 elicitation completed
NER batch_69c6d16897e48190b43eda2206b14d6a ner completed
PD batch_69c6d089c7488190a00853fb12f53b2a pd completed
Created at: March 27, 2026, 2:05 p.m.