Triple

T18078956
Position Surface form Disambiguated ID Type / Status
Subject Oberwald E432633 entity
Predicate mergedInto P77 FINISHED
Object Obergoms 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: Obergoms | Statement: [Oberwald, mergedInto, Obergoms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obergoms
Context triple: [Oberwald, mergedInto, Obergoms]
  • A. Obergoms chosen
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • B. Nassfeld
    Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
  • C. Oggersheim
    Oggersheim is a district of Ludwigshafen am Rhein in Germany, best known as the longtime home of former Chancellor Helmut Kohl.
  • D. Entzheim
    Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
  • E. Geroldswil
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9f81ff08190b7465e3c5568aa59 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.