Triple

T21910084
Position Surface form Disambiguated ID Type / Status
Subject APS officers E541036 entity
Predicate employedUnder P145597 FINISHED
Object merit-based selection principles 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: merit-based selection principles | Statement: [APS officers, employedUnder, merit-based selection principles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: employedUnder
Context triple: [APS officers, employedUnder, merit-based selection principles]
  • A. employedThrough
    Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
  • B. employedTo
    Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
  • C. employedSystem
    Indicates that a system is used or operated in the context of an employment or work-related arrangement.
  • D. employedAfter
    Indicates that one entity became employed by another entity at a point in time later than a referenced employment event or period.
  • E. employerStatus
    Indicates the current employment relationship or condition between an employer and a worker, such as whether the person is actively employed, terminated, retired, or on leave.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d9796881909fc1454a7b61b8fe completed April 28, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69e6be9ebf4c8190892df1a8e1313f88 completed April 21, 2026, 12:02 a.m.
PDg Predicate description generation batch_69e6c187bc548190b4ca13150f6bae38 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 7:40 p.m.