Triple

T34756934
Position Surface form Disambiguated ID Type / Status
Subject Pittsburg County jail E1001951 entity
Predicate pretrialPopulation P64633 FINISHED
Object yes 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: yes | Statement: [Pittsburg County jail, pretrialPopulation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pretrialPopulation
Context triple: [Pittsburg County jail, pretrialPopulation, yes]
  • A. isForPretrialDetainees chosen
    Indicates that something is intended to apply to, be used by, or be provided for individuals who are detained while awaiting trial.
  • B. arrestPrecededTrial
    Indicates that an arrest occurred before a trial took place.
  • C. detainedPopulation
    Indicates that a population of individuals is being held in custody or confinement, typically by legal or governmental authority.
  • D. numberOfIndictedPersonsApproximate
    Indicates an approximate count of persons who have been formally indicted in a given context or case.
  • E. priorCourtDisposition
    Indicates that a legal matter has an outcome or decision that was previously determined by a court.
  • 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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ffa6b68819090257fed3802c239 completed May 3, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f7795978c481909e152cd1bd02dd07 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.