Triple

T26132934
Position Surface form Disambiguated ID Type / Status
Subject Regional Revenue and Expenditure Budget (APBD DKI Jakarta) E659299 entity
Predicate expenditureCategory P71941 FINISHED
Object infrastructure development 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: infrastructure development | Statement: [Regional Revenue and Expenditure Budget (APBD DKI Jakarta), expenditureCategory, infrastructure development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expenditureCategory
Context triple: [Regional Revenue and Expenditure Budget (APBD DKI Jakarta), expenditureCategory, infrastructure development]
  • A. mainExpenditureCategory
    Indicates the primary type or classification of spending to which a particular expenditure mainly belongs.
  • B. expenditureFor chosen
    Indicates a relationship where a specific expenditure is made or allocated for a particular purpose, item, project, or entity.
  • C. payCategory
    Indicates the classification of a payment or compensation into a specific category (such as type, purpose, or pay band) within a payment or payroll context.
  • D. expenditures
    Indicates that an entity spends or allocates money or resources, typically specifying the amount, purpose, or category of that spending.
  • E. typeOfSpendingAffected
    Indicates that a particular kind or category of spending is influenced, changed, or impacted by another factor or event.
  • 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_69ee5bc3c20c8190bf2cf272f4170e95 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60c698ae48190871cd445422bad91 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f60b874cc88190a487230abb69efea completed May 2, 2026, 2:34 p.m.
Created at: April 26, 2026, 8:16 p.m.