Triple

T22029485
Position Surface form Disambiguated ID Type / Status
Subject Social Security Administration Listing of Impairments E544047 entity
Predicate usedAtStep P82971 FINISHED
Object Step 3 of the SSA sequential evaluation process 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: Step 3 of the SSA sequential evaluation process | Statement: [Social Security Administration Listing of Impairments, usedAtStep, Step 3 of the SSA sequential evaluation process]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAtStep
Context triple: [Social Security Administration Listing of Impairments, usedAtStep, Step 3 of the SSA sequential evaluation process]
  • A. usedAt
    Indicates that something is employed, applied, or utilized at a particular place, time, or context.
  • B. usedInStage chosen
    Indicates that something is utilized or applied during a particular stage or phase of a process or workflow.
  • C. usedDuring
    Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
  • D. usedInState
    Indicates that something is employed, applied, or functions within a particular state or condition.
  • E. usedBefore
    Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ebf6d48190b84e7a45bbf9049c completed April 28, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:24 p.m.