Triple

T2801103
Position Surface form Disambiguated ID Type / Status
Subject Supplemental Security Income E53154 entity
Predicate administeredAt P9097 FINISHED
Object federal level 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: federal level | Statement: [Supplemental Security Income, administeredAt, federal level]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administeredAt
Context triple: [Supplemental Security Income, administeredAt, federal level]
  • A. administeredWithin chosen
    Indicates that one entity is given, applied, or carried out inside the spatial or temporal bounds of another entity (such as a location, container, or time period).
  • B. dateOfAdministration
    Indicates the specific date on which a particular treatment, medication, or intervention was administered.
  • C. administeredIn
    Indicates that an action, treatment, or process is carried out or applied within a specific location, context, or jurisdiction.
  • D. administeredWith
    Indicates that two or more treatments, drugs, or interventions are given to a patient at the same time or as part of the same therapeutic regimen.
  • E. administeredFor
    Indicates that something (typically a treatment, medication, or intervention) is given or applied to an entity for a specific purpose, condition, or intended effect.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.