Triple

T22028618
Position Surface form Disambiguated ID Type / Status
Subject Oath of Succession E544026 entity
Predicate undermines P4938 FINISHED
Object succession claims based on Catherine of Aragon’s marriage 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: succession claims based on Catherine of Aragon’s marriage | Statement: [Oath of Succession, undermines, succession claims based on Catherine of Aragon’s marriage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: undermines
Context triple: [Oath of Succession, undermines, succession claims based on Catherine of Aragon’s marriage]
  • A. undermined chosen
    Indicates that one entity has weakened, subverted, or reduced the effectiveness, authority, or stability of another entity or its position.
  • B. underpins
    Indicates that one entity serves as the fundamental basis, support, or justification for another.
  • C. negates
    Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
  • D. discourages
    Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
  • E. inhibits
    Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ebf6d48190b84e7a45bbf9049c completed April 28, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69e6f63b0d048190b241622759aab9de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:24 p.m.