Triple

T103700
Position Surface form Disambiguated ID Type / Status
Subject Grand Pensionary E2095 entity
Predicate roleInGovernment P3902 FINISHED
Object leading political official of the Dutch Republic 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: leading political official of the Dutch Republic | Statement: [Grand Pensionary, roleInGovernment, leading political official of the Dutch Republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleInGovernment
Context triple: [Grand Pensionary, roleInGovernment, leading political official of the Dutch Republic]
  • A. roleInCongress
    Indicates the specific position or function an individual holds within a legislative congress.
  • B. legislativeRole
    Indicates that an entity holds or performs a specific official position, function, or duty within a legislative body or lawmaking process.
  • C. usedInGovernmentBody
    Indicates that an entity is employed by, serves within, or is otherwise functionally involved in the operations of a government body.
  • D. governmentalFunction chosen
    Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
  • E. partySystemRole
    Indicates the specific functional role or capacity that a party assumes within a given system or context.
  • 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_69a24e0a5b7c81908d52da08c60dabc4 completed Feb. 28, 2026, 2:08 a.m.
NER Named-entity recognition batch_69a258e0b11c8190b7b5cf3c354c47ce completed Feb. 28, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69a2563a6ff48190bec582fb2f99b7af completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:12 a.m.