Triple

T37696497
Position Surface form Disambiguated ID Type / Status
Subject Vigil of the Princes for King George V in 1936 E938942 entity
Predicate hasMourningContext P200857 FINISHED
Object state mourning for King George V 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: state mourning for King George V | Statement: [Vigil of the Princes for King George V in 1936, hasMourningContext, state mourning for King George V]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMourningContext
Context triple: [Vigil of the Princes for King George V in 1936, hasMourningContext, state mourning for King George V]
  • A. hasMemorialContext
    Indicates that something is related to, associated with, or situated within the context of a memorial or commemorative setting.
  • B. mourningEmphasizedBy
    Indicates that one instance of mourning is made more intense, prominent, or noticeable due to the influence or presence of another factor or expression.
  • C. mourningPeriodBegins
    Indicates that the formal period of mourning for a death or loss has started.
  • D. mourningLevel
    Indicates the degree or intensity to which an entity is experiencing or expressing mourning in response to a loss.
  • E. hasMemorial
    Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
  • F. None of above. chosen

Provenance (4 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_69f76eda6ae48190b3111071eeacc038 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffb1f0b03c81909ddb81f07ce74e88 completed May 9, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ffb1662b2481908582e0612744f4c5 completed May 9, 2026, 10:12 p.m.
PDg Predicate description generation batch_69ffb1f001948190a63c493b596a97b9 completed May 9, 2026, 10:15 p.m.
Created at: May 3, 2026, 4:18 p.m.