Triple

T7407577
Position Surface form Disambiguated ID Type / Status
Subject Dillenburg E170913 entity
Predicate hasSubdivision P747 FINISHED
Object Nanzenbach
Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
E662447 NE FINISHED

How this triple was built (4 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: Nanzenbach | Statement: [Dillenburg, hasSubdivision, Nanzenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanzenbach
Context triple: [Dillenburg, hasSubdivision, Nanzenbach]
  • A. Saletbach
    Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
  • B. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • C. Bulgenbach
    Bulgenbach is a locality in Germany known historically as the birthplace of the 16th-century peasant leader Hans Müller von Bulgenbach.
  • D. Königsbach
    Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
  • E. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nanzenbach
Triple: [Dillenburg, hasSubdivision, Nanzenbach]
Generated description
Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nanzenbach
Target entity description: Nanzenbach is a village-level district that forms part of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
  • A. Saletbach
    Saletbach is a mountain stream in the Bavarian Alps that feeds into the Königssee, known for its clear waters and scenic alpine surroundings.
  • B. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • C. Bulgenbach
    Bulgenbach is a locality in Germany known historically as the birthplace of the 16th-century peasant leader Hans Müller von Bulgenbach.
  • D. Königsbach
    Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
  • E. Wahnbach
    Wahnbach is a small river in North Rhine-Westphalia, Germany, known for feeding the Wahnbach Dam and serving as a tributary of the Sieg.
  • F. None of above. chosen

Provenance (5 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c81455967c81909757f42d976b535c completed March 28, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69c814b413a08190b7e5e85d73ddb430 completed March 28, 2026, 5:49 p.m.
Created at: March 27, 2026, 3:10 p.m.