Triple

T17045971
Position Surface form Disambiguated ID Type / Status
Subject Mühlacker E413568 entity
Predicate hasCityDistrict P2709 FINISHED
Object Lomersheim
Lomersheim is a district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
E1252375 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: Lomersheim | Statement: [Mühlacker, hasCityDistrict, Lomersheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lomersheim
Context triple: [Mühlacker, hasCityDistrict, Lomersheim]
  • A. Machtolsheim
    Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • B. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • C. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • D. Dromersheim
    Dromersheim is a village-sized district of the town of Bingen am Rhein in the German state of Rhineland-Palatinate.
  • E. Gottenheim
    Gottenheim is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
  • 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: Lomersheim
Triple: [Mühlacker, hasCityDistrict, Lomersheim]
Generated description
Lomersheim is a district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lomersheim
Target entity description: Lomersheim is a district of the town of Mühlacker in the state of Baden-Württemberg in southwestern Germany.
  • A. Machtolsheim
    Machtolsheim is a village in the Alb-Donau district of Baden-Württemberg, Germany, that forms part of the town of Laichingen.
  • B. Harzheim
    Harzheim is a village in the town of Mechernich in North Rhine-Westphalia, Germany.
  • C. Rixheim
    Rixheim is a commune in northeastern France’s Grand Est region, known historically for its wallpaper manufacturing industry.
  • D. Dromersheim
    Dromersheim is a village-sized district of the town of Bingen am Rhein in the German state of Rhineland-Palatinate.
  • E. Gottenheim
    Gottenheim is a small municipality in southwestern Germany, located near Freiburg im Breisgau in the state of Baden-Württemberg.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01413eba788190982351a97286e81f completed May 11, 2026, 2:38 a.m.
NEDg Description generation batch_6a01427966b48190ab7cbdaa139f6fbc completed May 11, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0142ff1c84819093604fe074f37660 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:33 a.m.