Triple

T2435899
Position Surface form Disambiguated ID Type / Status
Subject PRWORA E52958 entity
Predicate maximumLifetimeBenefitDuration P16413 FINISHED
Object 60 months of TANF assistance with some exceptions 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: 60 months of TANF assistance with some exceptions | Statement: [PRWORA, maximumLifetimeBenefitDuration, 60 months of TANF assistance with some exceptions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumLifetimeBenefitDuration
Context triple: [PRWORA, maximumLifetimeBenefitDuration, 60 months of TANF assistance with some exceptions]
  • A. maximumAgeAtAward
    Indicates the highest age a recipient can be (or was) at the time an award is given.
  • B. eligibilityPeriod chosen
    Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
  • C. maximumBondMaturity
    Indicates the longest allowable or actual time period until a bond tied to an entity reaches its maturity date.
  • D. hasMeanLifetime
    Indicates the characteristic average time duration for which an entity, state, or condition persists before it decays, ends, or changes.
  • E. retirementPeriod
    Indicates the time span during which an entity is considered to be retired or in retirement status.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcebf7cac8190889e6890d72c256c completed March 7, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abc5ac11b081908ce6a506e81a742a completed March 7, 2026, 6:29 a.m.
Created at: March 6, 2026, 9:43 p.m.