Triple

T37070
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom E732 entity
Predicate literaryTradition P2989 FINISHED
Object English literature 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: English literature | Statement: [United Kingdom, literaryTradition, English literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: literaryTradition
Context triple: [United Kingdom, literaryTradition, English literature]
  • A. literaryMovement
    Indicates the artistic or intellectual movement in literature with which a work, author, or text is associated or to which it belongs.
  • B. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • C. hasWritingTraditionSince
    Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
  • D. liturgicalTradition
    Indicates the specific religious rite or ceremonial tradition according to which a worship service, practice, or community operates.
  • E. musicTradition
    Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24bb753f081909cd8b25cfb8e08af completed Feb. 28, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69a24ab4a6908190b6f355415ffe7948 completed Feb. 28, 2026, 1:53 a.m.
PDg Predicate description generation batch_69a24bb6881081909e7d650f2b3169d3 completed Feb. 28, 2026, 1:58 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.