Triple

T22182496
Position Surface form Disambiguated ID Type / Status
Subject Combined Franco-Spanish fleet E548204 entity
Predicate notableShip P3345 FINISHED
Object Fougueux
Fougueux was a French ship of the line that fought in the Battle of Trafalgar as part of the combined Franco-Spanish fleet.
 E1523331 NE FINISHED

How this triple was built (4 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: Fougueux | Statement: [Combined Franco-Spanish fleet, notableShip, Fougueux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fougueux
Context triple: [Combined Franco-Spanish fleet, notableShip, Fougueux]
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Freneuse
    Freneuse is a commune in northern France that forms part of the greater Rouen metropolitan area in the Normandy region.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Fourqueux
    Fourqueux is a suburban commune in the Yvelines department of north-central France, located to the west of Paris.
  • E. Le Fossat
    Le Fossat is a small commune in the Ariège department of southwestern France, known for its rural setting in the Occitanie region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fougueux
Triple: [Combined Franco-Spanish fleet, notableShip, Fougueux]
Generated description
Fougueux was a French ship of the line that fought in the Battle of Trafalgar as part of the combined Franco-Spanish fleet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fougueux
Target entity description: Fougueux was a French ship of the line that fought in the Battle of Trafalgar as part of the combined Franco-Spanish fleet.
  • A. Quarreux
    Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
  • B. Freneuse
    Freneuse is a commune in northern France that forms part of the greater Rouen metropolitan area in the Normandy region.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Fourqueux
    Fourqueux is a suburban commune in the Yvelines department of north-central France, located to the west of Paris.
  • E. Le Fossat
    Le Fossat is a small commune in the Ariège department of southwestern France, known for its rural setting in the Occitanie region.
  • F. None of above. chosen

Provenance (5 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa687808190b9959d4e91db948a completed April 28, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ecd0a7881909dbda649b8474ff1 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9f494f3c8190aee8f2e6dc1af763 completed May 18, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa03a8e0c819089dc48473b5b743c completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:35 p.m.