Triple

T3103100
Position Surface form Disambiguated ID Type / Status
Subject Stadtholder of Utrecht E64764 entity
Predicate governmentalStructure P220 FINISHED
Object federal monarchy-like elements within a 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: federal monarchy-like elements within a republic | Statement: [Stadtholder of Utrecht, governmentalStructure, federal monarchy-like elements within a republic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentalStructure
Context triple: [Stadtholder of Utrecht, governmentalStructure, federal monarchy-like elements within a republic]
  • A. governmentType chosen
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • B. countryGovernment
    Indicates the type or form of government that exercises authority over a given country.
  • C. typeOfGovernmentAfter
    Indicates the form of government that exists or is established in a place following a specified event or time period.
  • D. constitutions
    Indicates that one entity formally establishes, composes, or makes up the essential structure or legal foundation of another entity.
  • E. legislatureStructure
    Indicates how a legislative body is organized, such as its internal composition, chambers, and structural arrangement.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26df128819086541db7680c8c24 completed March 8, 2026, 4:23 p.m.
PD Predicate disambiguation batch_69ad9df25d4c81908ff0f6cff55d0563 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:03 p.m.