Triple

T17926331
Position Surface form Disambiguated ID Type / Status
Subject Palliser E448202 entity
Predicate centralThemeInStories P6627 FINISHED
Object British politics 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 politics | Statement: [Palliser, centralThemeInStories, British politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralThemeInStories
Context triple: [Palliser, centralThemeInStories, British politics]
  • A. centralThemeConnection
    Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
  • B. centralThemeContext
    Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
  • C. coreNarrative
    Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
  • D. hasCentralTheme chosen
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • E. thematicConcept
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54e03588190b36a9bb88e4085de completed April 19, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69e3f8e713d481908b4a126258c18b63 completed April 18, 2026, 9:34 p.m.
Created at: April 10, 2026, 10:20 a.m.