Triple

T21103506
Position Surface form Disambiguated ID Type / Status
Subject The Hero in Modern Poetry E519973 entity
Predicate countryOfOrigin P26 FINISHED
Object United_Kingdom NE NERFINISHED

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: United_Kingdom | Statement: [The Hero in Modern Poetry, countryOfOrigin, United_Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United_Kingdom
Context triple: [The Hero in Modern Poetry, countryOfOrigin, United_Kingdom]
  • A. United Kingdom chosen
    The United Kingdom is a sovereign country in northwestern Europe comprising England, Scotland, Wales, and Northern Ireland, known for its parliamentary democracy, global cultural influence, and historic role in world affairs.
  • B. U.K.
    U.K. was a late-1970s British progressive rock supergroup known for its virtuosic musicianship and fusion of rock, jazz, and experimental elements.
  • C. Engesland
    Engesland is a small village in southern Norway that serves as one of the rural settlements within the municipality of Birkenes in Agder county.
  • D. England
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • E. Bretanha
    Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b6050e481908a5e48b667ac1503 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 2:53 p.m.