Triple

T9717709
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ouadi Doum E235383 entity
Predicate supportedBy P67 FINISHED
Object France E861 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: France | Statement: [Battle of Ouadi Doum, supportedBy, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Battle of Ouadi Doum, supportedBy, France]
  • A. 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.
  • B. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • C. État français
    État français was the authoritarian regime led by Marshal Philippe Pétain that governed unoccupied France from Vichy during World War II and collaborated with Nazi Germany.
  • D. Lafrançaise, France
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • E. France Ô
    France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3ea61081908a5671fc5be9a738 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f6d397481908f7db1f272a6a710 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:20 p.m.