Triple

T33636380
Position Surface form Disambiguated ID Type / Status
Subject The Ford County Times E861705 entity
Predicate hasFictionalAudience P199347 FINISHED
Object residents of Ford County 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: residents of Ford County | Statement: [The Ford County Times, hasFictionalAudience, residents of Ford County]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalAudience
Context triple: [The Ford County Times, hasFictionalAudience, residents of Ford County]
  • A. hasFictionalScope
    Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
  • B. hasFictionalContent
    Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
  • C. hasFictionalSpeaker
    Indicates that a work, text, or expression is presented as being spoken by an invented or non-real speaker rather than an actual person.
  • D. hasFictionalType
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • E. hasFictionalGenreCharacteristic
    Indicates that something possesses a specific characteristic or attribute related to a fictional genre.
  • F. None of above. chosen

Provenance (4 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_69f34981c54c81909b33c3fa2208a52d completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff2fbae9b48190847eefa1c227d43e completed May 9, 2026, 12:59 p.m.
PD Predicate disambiguation batch_69ff2f2218048190a32224a648182b5d completed May 9, 2026, 12:57 p.m.
PDg Predicate description generation batch_69ff2fb9e46c8190b36b3e0bc84f114c completed May 9, 2026, 12:59 p.m.
Created at: May 1, 2026, 1:42 a.m.