Triple

T14101940
Position Surface form Disambiguated ID Type / Status
Subject Klara Kohl E339402 entity
Predicate residence P75 FINISHED
Object Oggersheim E66380 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: Oggersheim | Statement: [Klara Kohl, residence, Oggersheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oggersheim
Context triple: [Klara Kohl, residence, Oggersheim]
  • A. Oggersheim chosen
    Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
  • B. Igersheim
    Igersheim is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • C. Egisheim
    Egisheim is a historic village in northeastern France’s Alsace region, known as the birthplace of Pope Leo IX (Bruno of Egisheim-Dagsburg) and for its well-preserved medieval architecture and wine-making tradition.
  • D. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • E. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3243360c819084a524af2e452863 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:22 p.m.