Triple

T8327108
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Ceylon E194979 entity
Predicate countryTypeDuringExistence P5544 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: [Prime Minister of Ceylon, countryTypeDuringExistence, constitutional monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryTypeDuringExistence
Context triple: [Prime Minister of Ceylon, countryTypeDuringExistence, constitutional monarchy]
  • A. countryAtTheTime
    Indicates that an entity is associated with a specific country as it existed at a particular point in time.
  • B. countryType chosen
    Indicates the classification or category of a country based on a specified typology (e.g., political, economic, or geographic type).
  • C. countryInThePast
    Indicates that an entity was recognized as a country during some period in the past, but is not necessarily a country in the present.
  • D. countryRuled
    Indicates that one entity exercises governing authority or political control over a country.
  • E. countryAfterSuccession
    Indicates that one country is the successor state that takes over from another country after a political or territorial succession.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f80ed288190b300e18b9bc58824 completed March 31, 2026, 8:02 a.m.
PD Predicate disambiguation batch_69cb70c3231c81909e3d463192c9de22 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:56 p.m.