Triple

T16657463
Position Surface form Disambiguated ID Type / Status
Subject California Bar Examination E404767 entity
Predicate usualMonthsAdministered P124161 FINISHED
Object February 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: February | Statement: [California Bar Examination, usualMonthsAdministered, February]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usualMonthsAdministered
Context triple: [California Bar Examination, usualMonthsAdministered, February]
  • A. hasMaintenanceDose
    Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
  • B. hasDosingRegimen
    Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
  • C. laterAdministeredAs
    Indicates that something was given or applied at a subsequent time, following an earlier event or condition.
  • D. introducedDuringAdministrationOf
    Indicates that something (such as a policy, program, or measure) was first established or brought into effect during the tenure of a particular administration.
  • E. doseRegimen
    Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfbfd7c819092c92f6c8da07dbd completed April 18, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69e319b1d7f08190b5ecb4a68c636c15 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326b9e84881909a9166e65bd850d6 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:18 a.m.