Triple

T14993894
Position Surface form Disambiguated ID Type / Status
Subject @aoc E373906 entity
Predicate accountCategory P38507 FINISHED
Object politician 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: politician | Statement: [@aoc, accountCategory, politician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accountCategory
Context triple: [@aoc, accountCategory, politician]
  • A. 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.
  • B. mainExpenditureCategory
    Indicates the primary type or classification of spending to which a particular expenditure mainly belongs.
  • C. accountType chosen
    Indicates the specific category or classification of an account within a system or context.
  • D. officeCategory
    Indicates the classification or type of an office within a defined categorization scheme.
  • E. reimbursementCategory
    Indicates the classification or type under which a reimbursement claim or expense is categorized.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded716ebb481908224d2d4f7561b03 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.