Triple

T303633
Position Surface form Disambiguated ID Type / Status
Subject Public Law 103-308 E6249 entity
Predicate observanceFrequency P4563 FINISHED
Object annual 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: annual | Statement: [Public Law 103-308, observanceFrequency, annual]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observanceFrequency
Context triple: [Public Law 103-308, observanceFrequency, annual]
  • A. awardedFrequency
    Indicates how often an award or recognition is given within a specified time period.
  • B. observesDay chosen
    Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
  • C. frequencyRequirement
    Indicates a constraint specifying how often an action, event, or condition must occur within a given context or time frame.
  • D. hasWeeklyHolyDay
    Indicates that an entity observes or is associated with a recurring holy or sacred day that occurs weekly.
  • E. meetingFrequency
    Indicates how often a meeting or recurring gathering takes place over a given period.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea2fba548190a5aeb1597dca96bd completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e93c367881908d3f6e2b81d44d7f completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.