Triple

T7847479
Position Surface form Disambiguated ID Type / Status
Subject 403(b) plan E181957 entity
Predicate catchUpProvision P79345 FINISHED
Object age 50 catch-up contributions 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: age 50 catch-up contributions | Statement: [403(b) plan, catchUpProvision, age 50 catch-up contributions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: catchUpProvision
Context triple: [403(b) plan, catchUpProvision, age 50 catch-up contributions]
  • A. mayAdvanceTo
    Indicates that one entity is permitted or eligible to progress, move, or be promoted to another specified state, level, or position.
  • B. managedUntil
    Indicates that one entity was responsible for managing or overseeing another entity up to a specific point in time.
  • C. followsUp
    Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
  • D. resumesAfter
    Indicates that an activity, process, or state starts again following a pause, interruption, or completion of another specified event.
  • E. subsequentIncrease
    Indicates that one quantity or value increases after a prior event, state, or change has occurred.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb164105fc8190a60aaa27dd619d5a completed March 31, 2026, 12:33 a.m.
PD Predicate disambiguation batch_69cae92180f88190ae3d44c3de7adc93 completed March 30, 2026, 9:20 p.m.
PDg Predicate description generation batch_69caf786ec748190b6347b0c94335550 completed March 30, 2026, 10:21 p.m.
Created at: March 30, 2026, 4:49 p.m.