Triple

T16076608
Position Surface form Disambiguated ID Type / Status
Subject Simeon II E389993 entity
Predicate governmentTypeAsMonarch P8695 FINISHED
Object constitutional monarchy 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: constitutional monarchy | Statement: [Simeon II, governmentTypeAsMonarch, constitutional monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeAsMonarch
Context triple: [Simeon II, governmentTypeAsMonarch, constitutional monarchy]
  • A. monarchType
    Indicates the specific kind or category of monarchy or monarch associated with an entity.
  • B. monarchyStatus chosen
    Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
  • C. governingMonarchyAtCreation
    Indicates the monarchy that held governing authority over an entity at the time the entity was created.
  • D. typeOfMonarchyTitle
    Indicates that a given title is a specific type or category of monarchy-related title (e.g., king, queen, emperor) within a monarchical system.
  • E. monarchy
    Indicates a system of governance in which supreme authority is vested in a single ruler, typically a king or queen, whose position is usually hereditary.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1ff63edb0819092cbb671967bbdcd completed April 17, 2026, 9:37 a.m.
PD Predicate disambiguation batch_69e1827ad7c88190b867da511cbfb7fa completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.