Triple

T20318095
Position Surface form Disambiguated ID Type / Status
Subject Schuttrange E492134 entity
Predicate hasSettlement P1068 FINISHED
Object Munsbach
Munsbach is a small village in central Luxembourg, known for its rural setting and proximity to the capital city.
E1442223 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: Munsbach | Statement: [Schuttrange, hasSettlement, Munsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munsbach
Context triple: [Schuttrange, hasSettlement, Munsbach]
  • A. Morsbach
    Morsbach is a small river in North Rhine-Westphalia, Germany, that flows through the city of Remscheid.
  • B. Mosbach
    Mosbach is a historic town in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its well-preserved medieval old town and half-timbered architecture.
  • C. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • D. Ramingstein
    Ramingstein is a small Austrian municipality in the Lungau region of Salzburg, known for its alpine setting and historic silver mining heritage.
  • E. Lenzinghausen
    Lenzinghausen is a district or locality within the town of Spenge in the German state of North Rhine-Westphalia.
  • 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: Munsbach
Triple: [Schuttrange, hasSettlement, Munsbach]
Generated description
Munsbach is a small village in central Luxembourg, known for its rural setting and proximity to the capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Munsbach
Target entity description: Munsbach is a small village in central Luxembourg, known for its rural setting and proximity to the capital city.
  • A. Morsbach
    Morsbach is a small river in North Rhine-Westphalia, Germany, that flows through the city of Remscheid.
  • B. Mosbach
    Mosbach is a historic town in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its well-preserved medieval old town and half-timbered architecture.
  • C. Donsbach
    Donsbach is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis region of Hesse, Germany.
  • D. Ramingstein
    Ramingstein is a small Austrian municipality in the Lungau region of Salzburg, known for its alpine setting and historic silver mining heritage.
  • E. Lenzinghausen
    Lenzinghausen is a district or locality within the town of Spenge in the German state of North Rhine-Westphalia.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67789d8108190ae2e134f4b0b0be5 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c5707cb081908232dc398f7574cc completed May 16, 2026, 7:28 p.m.
NEDg Description generation batch_6a08c5e61e608190b0d6a7ec415658dd completed May 16, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_6a08c64d463c81909cfd2aabec65397d completed May 16, 2026, 7:32 p.m.
Created at: April 16, 2026, 11:20 a.m.