Triple

T14680867
Position Surface form Disambiguated ID Type / Status
Subject Mondercange E344778 entity
Predicate hasNeighbouringCommune P33892 FINISHED
Object Dippach
Dippach is a commune and small town in southwestern Luxembourg, known for its rural character and proximity to Luxembourg City.
E1113656 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: Dippach | Statement: [Mondercange, hasNeighbouringCommune, Dippach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dippach
Context triple: [Mondercange, hasNeighbouringCommune, Dippach]
  • A. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • B. Dransfeld
    Dransfeld is a small town in Lower Saxony, Germany, historically significant enough to lend its name to the surrounding Dransfeld plateau.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • E. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German 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: Dippach
Triple: [Mondercange, hasNeighbouringCommune, Dippach]
Generated description
Dippach is a commune and small town in southwestern Luxembourg, known for its rural character and proximity to Luxembourg City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dippach
Target entity description: Dippach is a commune and small town in southwestern Luxembourg, known for its rural character and proximity to Luxembourg City.
  • A. Neudrossenfeld
    Neudrossenfeld is a municipality in the Kulmbach district of northern Bavaria, Germany, known for its rural character and Franconian cultural heritage.
  • B. Dransfeld
    Dransfeld is a small town in Lower Saxony, Germany, historically significant enough to lend its name to the surrounding Dransfeld plateau.
  • C. Kallenbach
    Kallenbach is a German-language surname most notably borne by Hermann Kallenbach, a close associate of Mahatma Gandhi.
  • D. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • E. Haslach
    Haslach is a district or locality that forms part of the town of Oberkirch in the German 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde447189881909b4b0dc654a05e0d completed May 8, 2026, 1:25 p.m.
NED2 Entity disambiguation (via description) batch_69fde53290a48190b3701472bb4e3d63 completed May 8, 2026, 1:29 p.m.
Created at: April 10, 2026, 1:28 a.m.