Triple

T18046138
Position Surface form Disambiguated ID Type / Status
Subject Rheingau-Taunus-Kreis E431777 entity
Predicate borders P224 FINISHED
Object Limburg-Weilburg 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: Limburg-Weilburg | Statement: [Rheingau-Taunus-Kreis, borders, Limburg-Weilburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg-Weilburg
Context triple: [Rheingau-Taunus-Kreis, borders, Limburg-Weilburg]
  • A. Limburg-Weilburg chosen
    Limburg-Weilburg is a rural district in the German state of Hesse, known for its historic town of Limburg an der Lahn and its location along the Lahn River.
  • B. Weilburg
    Weilburg is a historic town in the German state of Hesse, known for its Renaissance castle and as the ancestral seat of the House of Nassau-Weilburg.
  • C. Limburg an der Lahn
    Limburg an der Lahn is a historic town in western Hesse, Germany, known for its well-preserved medieval old town and prominent hilltop cathedral overlooking the Lahn River.
  • D. Nassau-Weilburg
    Nassau-Weilburg was a historical German county and later principality within the Holy Roman Empire, ruled by a branch of the House of Nassau.
  • E. Würselen
    Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.