Triple

T14111690
Position Surface form Disambiguated ID Type / Status
Subject Via Francigena E339653 entity
Predicate passesThrough P225 FINISHED
Object England E1791 NE 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: England | Statement: [Via Francigena, passesThrough, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: England
Context triple: [Via Francigena, passesThrough, England]
  • A. England chosen
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • B. 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.
  • C. United Kingdom
    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.
  • D. 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.
  • E. Great Britain
    Great Britain is the name used by the United Kingdom’s athletes competing together as a single national team at the Olympic Games.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600e6a688190a1243a30ae9b7157 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7cfcf748190944ffea7582d4f66 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:22 p.m.