Triple

T12566869
Position Surface form Disambiguated ID Type / Status
Subject Province of Westphalia E295497 entity
Predicate containsSettlement P847 FINISHED
Object Rüthen E300331 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: Rüthen | Statement: [Province of Westphalia, containsSettlement, Rüthen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüthen
Context triple: [Province of Westphalia, containsSettlement, Rüthen]
  • A. Rüthen chosen
    Rüthen is a small historic town in North Rhine-Westphalia, Germany, known for its medieval architecture and location in the scenic Sauerland region.
  • B. Riehe
    Riehe is a small river in Lower Saxony, Germany, known as one of the tributaries feeding into the Innerste.
  • C. Schönaich
    Schönaich is a municipality in the German state of Baden-Württemberg, known for its local community life and international town twinning partnerships.
  • D. Rheinsfelden
    Rheinsfelden is a locality in the canton of Zurich, Switzerland, situated near the confluence of the Glatt River with the Rhine.
  • E. Riedlingen
    Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d89b988190bde04701c4d1f904 completed May 3, 2026, 3:28 a.m.
Created at: April 8, 2026, 11:49 p.m.