Triple

T16997998
Position Surface form Disambiguated ID Type / Status
Subject Borough Council of Berlin E412365 entity
Predicate remunerationType P14176 FINISHED
Object allowance rather than full salary 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: allowance rather than full salary | Statement: [Borough Council of Berlin, remunerationType, allowance rather than full salary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: remunerationType
Context triple: [Borough Council of Berlin, remunerationType, allowance rather than full salary]
  • A. salaryType
    Indicates the classification or structure of compensation associated with an entity, such as whether pay is salaried, hourly, commission-based, or another type.
  • B. compensationCategory chosen
    Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
  • C. memberRemuneration
    Indicates that a member receives payment or compensation, typically for their role, services, or participation within an organization or group.
  • D. typeOfIncentive
    Indicates the specific kind or category of incentive associated with an entity or action.
  • E. hasNoAdditionalRemuneration
    Indicates that an entity does not receive any extra payment or compensation beyond the primary agreed remuneration.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37c16d081908ea5e25c992cb254 completed April 18, 2026, 6:54 p.m.
PD Predicate disambiguation batch_69e35d552bc08190af17ef7659e094ef completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:32 a.m.