Triple

T19221881
Position Surface form Disambiguated ID Type / Status
Subject Albert Kahn E480634 entity
Predicate placeOfBirth P1 FINISHED
Object Rhaunen 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: Rhaunen | Statement: [Albert Kahn, placeOfBirth, Rhaunen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhaunen
Context triple: [Albert Kahn, placeOfBirth, Rhaunen]
  • A. Geisenheim
    Geisenheim is a German town in the Rheingau wine region, known for its viticulture, wine production, and renowned university of applied sciences for wine and horticulture.
  • B. Heroldsberg
    Heroldsberg is a municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its historic center and proximity to the city of Nuremberg.
  • C. Schorbach
    Schorbach is a small commune in northeastern France, situated in the Moselle department within the historically and geographically distinct Pays de Bitche region.
  • D. Bernkastel-Wittlich chosen
    Bernkastel-Wittlich is a rural district in the German state of Rhineland-Palatinate, known for its wine-growing regions along the Moselle River and historic towns.
  • E. Bernkastel-Kues
    Bernkastel-Kues is a historic wine-growing town in Germany’s Rhineland-Palatinate region, renowned for its medieval architecture and picturesque setting amid the Moselle Valley vineyards.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3fa9348190920f9d41b8beb900 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.