Triple

T10130027
Position Surface form Disambiguated ID Type / Status
Subject Markkleeberg E226311 entity
Predicate adjacentTo P224 FINISHED
Object Großpösna
Großpösna is a municipality in the Leipzig district of Saxony, Germany, known for its proximity to Leipzig and the nearby lakes of the Neuseenland region.
E842726 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: Großpösna | Statement: [Markkleeberg, adjacentTo, Großpösna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Großpösna
Context triple: [Markkleeberg, adjacentTo, Großpösna]
  • A. Pitztal
    Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
  • B. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • C. Nußbach
    Nußbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • D. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • E. Viechtach
    Viechtach is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and outdoor recreation.
  • 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: Großpösna
Triple: [Markkleeberg, adjacentTo, Großpösna]
Generated description
Großpösna is a municipality in the Leipzig district of Saxony, Germany, known for its proximity to Leipzig and the nearby lakes of the Neuseenland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Großpösna
Target entity description: Großpösna is a municipality in the Leipzig district of Saxony, Germany, known for its proximity to Leipzig and the nearby lakes of the Neuseenland region.
  • A. Pitztal
    Pitztal is a valley in the Austrian Tyrol known for its high alpine scenery, glacier skiing, and access to prominent peaks in the Ötztal Alps.
  • B. Gaisbach
    Gaisbach is a village and district of the town of Oberkirch in the state of Baden-Württemberg in southwestern Germany.
  • C. Nußbach
    Nußbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • D. Weidach
    Weidach is a locality or district that forms part of the municipality of Blaustein in the state of Baden-Württemberg, Germany.
  • E. Viechtach
    Viechtach is a small town in the Bavarian Forest region of southeastern Germany, known for its scenic landscapes and outdoor recreation.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc7c50b08190a04aa2f58a6c300a completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cecd67448190a28a90148ad83c20 completed April 5, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69d2cf4d259881909f44bf1ec39524de completed April 5, 2026, 9:08 p.m.
Created at: March 30, 2026, 9:05 p.m.