Triple

T19492616
Position Surface form Disambiguated ID Type / Status
Subject Gottmadingen E487688 entity
Predicate hasMunicipalPart P84684 FINISHED
Object Murbach
Murbach is a small locality that forms part of the municipality of Gottmadingen in the state of Baden-Württemberg, Germany.
E1384177 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: Murbach | Statement: [Gottmadingen, hasMunicipalPart, Murbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murbach
Context triple: [Gottmadingen, hasMunicipalPart, Murbach]
  • A. Morsbach
    Morsbach is a small river in North Rhine-Westphalia, Germany, that flows through the city of Remscheid.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Lombach
    The Lombach is a small river in the Bernese Oberland region of Switzerland that flows through the municipality of Unterseen near Interlaken.
  • D. Hörschweiler
    Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • E. Forbach
    Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
  • 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: Murbach
Triple: [Gottmadingen, hasMunicipalPart, Murbach]
Generated description
Murbach is a small locality that forms part of the municipality of Gottmadingen in the state of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Murbach
Target entity description: Murbach is a small locality that forms part of the municipality of Gottmadingen in the state of Baden-Württemberg, Germany.
  • A. Morsbach
    Morsbach is a small river in North Rhine-Westphalia, Germany, that flows through the city of Remscheid.
  • B. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • C. Lombach
    The Lombach is a small river in the Bernese Oberland region of Switzerland that flows through the municipality of Unterseen near Interlaken.
  • D. Hörschweiler
    Hörschweiler is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • E. Forbach
    Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348f4d708190a6e612863fee4b97 completed April 20, 2026, 2:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07576fb82c8190a3ed77d9cbcc6f57 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758f52b38819092adc8e564d792b1 completed May 15, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_6a075962f53881908fbf628ede13cf54 completed May 15, 2026, 5:35 p.m.
Created at: April 10, 2026, 1:39 p.m.