Triple

T20147603
Position Surface form Disambiguated ID Type / Status
Subject Massacre of Glencoe E491343 entity
Predicate involvesOath P31562 FINISHED
Object oath of allegiance to William III and Mary II 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: oath of allegiance to William III and Mary II | Statement: [Massacre of Glencoe, involvesOath, oath of allegiance to William III and Mary II]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesOath
Context triple: [Massacre of Glencoe, involvesOath, oath of allegiance to William III and Mary II]
  • A. hasOathTo
    Indicates a relationship in which one entity is bound by an oath or sworn commitment to another entity.
  • B. oath
    Indicates a formal, binding promise or pledge made by one party to uphold certain duties, truths, or obligations, often under conditions of solemnity or authority.
  • C. oathSwornBefore
    Indicates that an oath or solemn promise has been formally declared in the presence of a specified person, group, or authority.
  • D. containsOathBy chosen
    Indicates that one entity (such as a text, document, or statement) includes or features an oath made by another entity.
  • E. roleInOaths
    Indicates that an entity participates in oaths with a specific role or capacity within the oath-taking 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679f43bc8190a1cd4768b3e87505 completed April 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69e54cfd924881909b55f3e4d3e7e070 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:33 p.m.