Triple

T17481888
Position Surface form Disambiguated ID Type / Status
Subject Wimsener Höhle E425679 entity
Predicate nearbySettlement P350 FINISHED
Object Zwiefalten 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: Zwiefalten | Statement: [Wimsener Höhle, nearbySettlement, Zwiefalten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwiefalten
Context triple: [Wimsener Höhle, nearbySettlement, Zwiefalten]
  • A. Zwiefalten chosen
    Zwiefalten is a small historic town and former monastic center in the state of Baden-Württemberg in southern Germany.
  • B. Zweibund
    Zweibund was the German term for the Dual Alliance, a key late 19th-century military and political alliance between Germany and Austria-Hungary that shaped pre–World War I European diplomacy.
  • C. Zwiggelte
    Zwiggelte is a small village in the Dutch province of Drenthe, known for its rural character and agricultural surroundings.
  • D. Zesgehuchten
    Zesgehuchten was a former village and municipality in the Dutch province of North Brabant, now part of the city of Geldrop-Mierlo.
  • E. Falten und Fallen
    Falten und Fallen is a poetry collection by contemporary German poet Durs Grünbein, known for its intellectually dense, reflective verse and exploration of history, memory, and the human condition.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451c0db14819098922453131fb40a completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.