Triple

T32927428
Position Surface form Disambiguated ID Type / Status
Subject Washington Class 3 Senate seat E842308 entity
Predicate staggeredTermCycle P42270 FINISHED
Object one of three Senate classes 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: one of three Senate classes | Statement: [Washington Class 3 Senate seat, staggeredTermCycle, one of three Senate classes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: staggeredTermCycle
Context triple: [Washington Class 3 Senate seat, staggeredTermCycle, one of three Senate classes]
  • A. hasStaggeredTerms chosen
    Indicates that the members or positions within a body or group serve overlapping terms that begin and end at different times rather than all simultaneously.
  • B. appointedTerm
    Indicates that an entity has been officially assigned to hold a position or role for a specified term or duration.
  • C. legislativeTermType
    Indicates the specific category or classification of a legislative term within a legislative body or system.
  • D. termLengthCharacteristic
    Indicates the specific duration-related property or feature associated with a term (such as its length or time span).
  • E. staggeredWith
    Indicates that two or more entities are arranged or occur in an offset, non-aligned manner relative to each other, rather than being directly parallel or synchronized.
  • 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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0db14cc81908d797b77e4ebe169 completed May 3, 2026, 4:36 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:20 a.m.