Triple

T18311256
Position Surface form Disambiguated ID Type / Status
Subject Odenwaldkreis E438629 entity
Predicate contains P35 FINISHED
Object Lützelbach
Lützelbach is a municipality in the Odenwald region of the German state of Hesse, known for its rural character and forested surroundings.
E1317616 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: Lützelbach | Statement: [Odenwaldkreis, contains, Lützelbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lützelbach
Context triple: [Odenwaldkreis, contains, Lützelbach]
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • C. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • D. Urselbach
    Urselbach is a small river in the Taunus region of Hesse, Germany, that flows through the town of Oberursel and its surroundings.
  • E. Buhlbach
    Buhlbach is a small locality or district within the Black Forest municipality of Baiersbronn in southwestern Germany.
  • 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: Lützelbach
Triple: [Odenwaldkreis, contains, Lützelbach]
Generated description
Lützelbach is a municipality in the Odenwald region of the German state of Hesse, known for its rural character and forested surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lützelbach
Target entity description: Lützelbach is a municipality in the Odenwald region of the German state of Hesse, known for its rural character and forested surroundings.
  • A. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • B. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • C. Lorsbach
    Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
  • D. Urselbach
    Urselbach is a small river in the Taunus region of Hesse, Germany, that flows through the town of Oberursel and its surroundings.
  • E. Buhlbach
    Buhlbach is a small locality or district within the Black Forest municipality of Baiersbronn in southwestern Germany.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03bb6640e88190bed9e233fc14ecec completed May 12, 2026, 11:44 p.m.
NEDg Description generation batch_6a03bcc98f6081908d85c0f08cea8f5d completed May 12, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_6a03c062f9088190aef638dfc212d283 completed May 13, 2026, 12:05 a.m.
Created at: April 10, 2026, 10:36 a.m.