Triple

T35313313
Position Surface form Disambiguated ID Type / Status
Subject Welchman E1019836 entity
Predicate hasNotableAssociationThroughBearer P206926 FINISHED
Object British codebreaking 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: British codebreaking | Statement: [Welchman, hasNotableAssociationThroughBearer, British codebreaking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableAssociationThroughBearer
Context triple: [Welchman, hasNotableAssociationThroughBearer, British codebreaking]
  • A. hasNotableBearer
    Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
  • B. hasNotableBearerConcept
    Indicates that a concept is notably associated with or exemplified by a particular bearer (such as a person, group, or entity).
  • C. hasNotableBearerFamilyConnection
    Indicates a relationship where one entity has a notable bearer who is connected to another entity through a family or kinship tie.
  • D. hasNotableSingleBearer
    Indicates that the relationship holds when a name, title, or identifier is notably associated with exactly one specific bearer, rather than shared among many.
  • E. hasNotableFieldOfBearers
    Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
  • 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_69f76de9d45c81908a2ed0956b448b65 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0324d08190ac5b610cc0f6a38c completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82179081908325a59b8539b3a8 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:03 p.m.