Triple

T22067183
Position Surface form Disambiguated ID Type / Status
Subject Nastätten E545303 entity
Predicate locatedNear P294 FINISHED
Object Limburg an der Lahn 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 an der Lahn | Statement: [Nastätten, locatedNear, Limburg an der Lahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg an der Lahn
Context triple: [Nastätten, locatedNear, Limburg an der Lahn]
  • A. Limburg an der Lahn chosen
    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.
  • B. Limburg-Weilburg
    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.
  • C. Limburg
    Limburg is a province in the southeastern Netherlands known for its hilly landscape, distinct Limburgish culture and language, and the city of Maastricht.
  • D. Limburg
    Limburg is a historical region in the Low Countries that was once part of the Habsburg Netherlands and has since been divided mainly between present-day Belgium and the Netherlands.
  • E. Limburg (district)
    Limburg (district) was a former administrative district in the German state of Hesse centered on the town of Limburg an der Lahn.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12884937c819095d3af69123fa2cb completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.