Triple

T21997546
Position Surface form Disambiguated ID Type / Status
Subject CSAT (General Studies Paper II) E543243 entity
Predicate administeredFrequency P125216 FINISHED
Object once a year 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: once a year | Statement: [CSAT (General Studies Paper II), administeredFrequency, once a year]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administeredFrequency
Context triple: [CSAT (General Studies Paper II), administeredFrequency, once a year]
  • A. typicalDosingFrequency chosen
    Indicates how often a treatment or medication is usually administered within a standard dosing regimen.
  • B. dosingInterval
    Indicates the time period that should elapse between consecutive doses of a medication or treatment.
  • C. administeredOnce
    Indicates that the action of administering something to an entity occurred exactly one time.
  • D. usualMonthsAdministered
    Indicates the months in which something, typically a treatment or intervention, is normally administered.
  • E. administeredUntil
    Indicates that an action, treatment, or process was actively administered to an entity up to, but not beyond, a specified end time or date.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276774508190b96870266e10979a completed April 28, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69e6f62dc9d88190ae387f145f9528de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:19 p.m.