Triple

T6669822
Position Surface form Disambiguated ID Type / Status
Subject Polish local government reforms of 1998 E151696 entity
Predicate transferredCompetencesTo P4781 FINISHED
Object local self-government units 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: local self-government units | Statement: [Polish local government reforms of 1998, transferredCompetencesTo, local self-government units]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transferredCompetencesTo
Context triple: [Polish local government reforms of 1998, transferredCompetencesTo, local self-government units]
  • A. transferredPersonnelTo
    Indicates that one entity moved or reassigned personnel from itself to another entity.
  • B. transferredPromotionalFunctionsTo
    Indicates that one entity moved or reassigned its promotional responsibilities, duties, or activities to another entity.
  • C. technologyTransferFrom
    Indicates that knowledge, methods, or technology are being transferred or shared from one entity to another.
  • D. transferredFunctionsFrom chosen
    Indicates that certain roles, duties, or responsibilities were moved from one entity to another.
  • E. transferAfter
    Indicates that one entity transfers something to another entity only after a specified event or condition has occurred.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:02 p.m.