Triple

T3294546
Position Surface form Disambiguated ID Type / Status
Subject Raymond Poincaré E69181 entity
Predicate birthPlace P1 FINISHED
Object Lorraine E68529 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: Lorraine | Statement: [Raymond Poincaré, birthPlace, Lorraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorraine
Context triple: [Raymond Poincaré, birthPlace, Lorraine]
  • A. Lorraine chosen
    Lorraine is a historical and cultural region in northeastern France known for its strategic location bordering Luxembourg, Germany, and Belgium, and for its mixed French-German heritage.
  • B. Lower Lorraine
    Lower Lorraine was a medieval duchy within the Holy Roman Empire that encompassed much of the Low Countries and parts of western Germany.
  • C. Touraine
    Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
  • D. Alsace
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • E. Lorraine Plateau
    The Lorraine Plateau is a gently rolling upland region in northeastern France known for its agricultural landscapes and position between the Vosges Mountains and the Moselle River basin.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb07661748190bf57469e101c5283 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d35c448190a4ca50ae31639e65 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.