Triple

T37789235
Position Surface form Disambiguated ID Type / Status
Subject CSRS E942035 entity
Predicate coordinationWithSocialSecurity P146333 FINISHED
Object limited 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: limited | Statement: [CSRS, coordinationWithSocialSecurity, limited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coordinationWithSocialSecurity
Context triple: [CSRS, coordinationWithSocialSecurity, limited]
  • A. benefitCoordination
    Indicates that one entity gains an advantage or positive outcome through the organized cooperation or alignment of actions with another entity.
  • B. coordinationWithBenefits chosen
    Indicates a relationship where entities coordinate their actions or plans in a way that yields mutual or shared benefits.
  • C. coordinatedWith
    Indicates that two or more entities have worked together in an organized, cooperative manner toward a shared task, goal, or activity.
  • D. coordinateRoleIn
    Indicates a relationship where one entity organizes, aligns, or manages the roles or responsibilities of another entity within a shared activity, structure, or context.
  • E. coordina
    Indicates that one entity organizes, directs, or harmonizes the actions or efforts of another entity or group toward a common goal.
  • 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: May 3, 2026, 4:19 p.m.