Triple

T17414197
Position Surface form Disambiguated ID Type / Status
Subject Meckesheim E423444 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Wiesenbach
Wiesenbach is a small municipality in the Rhine-Neckar district of Baden-Württemberg in southwestern Germany.
E1267967 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: Wiesenbach | Statement: [Meckesheim, hasNeighboringMunicipality, Wiesenbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiesenbach
Context triple: [Meckesheim, hasNeighboringMunicipality, Wiesenbach]
  • A. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • B. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • C. Gentalbach
    Gentalbach is a mountain stream in the Swiss Alps that flows through the Gental valley before joining the Hasli-Aare river system.
  • D. Schrecksbach
    Schrecksbach is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • E. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • 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: Wiesenbach
Triple: [Meckesheim, hasNeighboringMunicipality, Wiesenbach]
Generated description
Wiesenbach is a small municipality in the Rhine-Neckar district of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiesenbach
Target entity description: Wiesenbach is a small municipality in the Rhine-Neckar district of Baden-Württemberg in southwestern Germany.
  • A. Langrickenbach
    Langrickenbach is a municipality in the canton of Thurgau in northeastern Switzerland, situated in a rural area near Lake Constance.
  • B. Weilersbach
    Weilersbach is a small municipality in the Forchheim district of Bavaria, Germany, known for its rural character and proximity to the Franconian Switzerland region.
  • C. Gentalbach
    Gentalbach is a mountain stream in the Swiss Alps that flows through the Gental valley before joining the Hasli-Aare river system.
  • D. Schrecksbach
    Schrecksbach is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • E. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44230fc688190a6a7edc12d9e9947 completed April 19, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7ffe00c819081536fb24eaa30d3 completed May 11, 2026, 9:57 a.m.
NEDg Description generation batch_6a01a898ceb48190ba3d40c898b17158 completed May 11, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a01a919bd288190aed27a1523afc470 completed May 11, 2026, 10:02 a.m.
Created at: April 10, 2026, 5:46 a.m.