Triple

T1097410
Position Surface form Disambiguated ID Type / Status
Subject Social Security Disability Insurance E24299 entity
Predicate hasProgramCode P24101 FINISHED
Object Title II disability benefits 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: Title II disability benefits | Statement: [Social Security Disability Insurance, hasProgramCode, Title II disability benefits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProgramCode
Context triple: [Social Security Disability Insurance, hasProgramCode, Title II disability benefits]
  • A. hasProgramme
    Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
  • B. hasGlobalProgramme
    Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
  • C. hasComponentProgram
    Indicates that one program includes or is composed of another program as a component or sub-program.
  • D. implementedProgram
    Indicates that an entity has created, developed, or put into operation a particular program or software system.
  • E. hasPublicProgram
    Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9a1d3108190b2a304fef429848d completed March 1, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69a4b745ef3481909a7ce4647c8567b3 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b8f1097881908932d7eea4331917 completed March 1, 2026, 10:08 p.m.
Created at: March 1, 2026, 7:42 p.m.