Triple

T699842
Position Surface form Disambiguated ID Type / Status
Subject Postal Reorganization Act of 1970 E13973 entity
Predicate changedStatusOfEmployees P13710 FINISHED
Object from federal civil service employees to postal service employees 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: from federal civil service employees to postal service employees | Statement: [Postal Reorganization Act of 1970, changedStatusOfEmployees, from federal civil service employees to postal service employees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: changedStatusOfEmployees
Context triple: [Postal Reorganization Act of 1970, changedStatusOfEmployees, from federal civil service employees to postal service employees]
  • A. laterStatus chosen
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • B. status
    Indicates the current condition, state, or standing of an entity within a given context.
  • C. hadOccupationStatusUntil
    Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
  • D. exportStatus
    Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
  • E. employedPeople
    Indicates that there exists a relationship where people are currently working in jobs or positions, typically under an employer.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0de47f48190949bfa113330a404 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d265cf08190877f920d52a5ba43 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.