Triple

T2991658
Position Surface form Disambiguated ID Type / Status
Subject Lahn E80767 entity
Predicate flowsThrough P225 FINISHED
Object Limburg an der Lahn E224973 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: Limburg an der Lahn | Statement: [Lahn, flowsThrough, Limburg an der Lahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limburg an der Lahn
Context triple: [Lahn, flowsThrough, 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 an der Vesdre
    Limburg an der Vesdre is a historic town in eastern Belgium that once served as the capital of the medieval Duchy of Limburg.
  • C. 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.
  • D. Lüneburg
    Lüneburg is a historic Hanseatic town in northern Germany renowned for its medieval architecture and former wealth from salt mining.
  • E. Neustadt an der Weinstraße
    Neustadt an der Weinstraße is a historic wine-producing town in southwestern Germany, renowned for its role in the Palatinate wine region and its well-preserved old town.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99df69d08190a0e25efb0dc8d653 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e3bac408190b09bafee840eb0d1 completed March 11, 2026, 8:56 a.m.
Created at: March 8, 2026, 2:59 p.m.