Triple

T22404372
Position Surface form Disambiguated ID Type / Status
Subject Guernsey E553843 entity
Predicate borderedBy P224 FINISHED
Object France (maritime border) 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: France (maritime border) | Statement: [Guernsey, borderedBy, France (maritime border)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France (maritime border)
Context triple: [Guernsey, borderedBy, France (maritime border)]
  • A. Atlantic France
    Atlantic France is a historical-geographical region along France’s western seaboard on the Atlantic Ocean, encompassing coastal areas and nearby inland territories such as those around Niort.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. France (by the Strait of Dover)
    France is a major Western European country known for its rich history, cultural influence, and proximity across the Strait of Dover from southeast England.
  • E. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b6762c8190991fc14c5ca8e609 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.