Triple

T20559475
Position Surface form Disambiguated ID Type / Status
Subject Goitzsche landscape park E504807 entity
Predicate nearbySettlement P350 FINISHED
Object Mühlbeck
Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
E1437679 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: Mühlbeck | Statement: [Goitzsche landscape park, nearbySettlement, Mühlbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mühlbeck
Context triple: [Goitzsche landscape park, nearbySettlement, Mühlbeck]
  • A. Miedelsbach
    Miedelsbach is a village and district of the town of Schorndorf in the Rems-Murr district of Baden-Württemberg, Germany.
  • B. Wahmbeck
    Wahmbeck is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
  • C. Münnich
    Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
  • D. Neumühl
    Neumühl is a district of the town of Kehl in the German state of Baden-Württemberg, located near the French border by Strasbourg.
  • E. Bruckmühl
    Bruckmühl is a market town in Upper Bavaria, Germany, known for its location along the Mangfall River and its proximity to the city of Rosenheim.
  • 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: Mühlbeck
Triple: [Goitzsche landscape park, nearbySettlement, Mühlbeck]
Generated description
Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mühlbeck
Target entity description: Mühlbeck is a small settlement in Saxony-Anhalt, Germany, situated near the Goitzsche landscape park and the town of Bitterfeld.
  • A. Miedelsbach
    Miedelsbach is a village and district of the town of Schorndorf in the Rems-Murr district of Baden-Württemberg, Germany.
  • B. Wahmbeck
    Wahmbeck is a district of the German town of Lemgo in the state of North Rhine-Westphalia.
  • C. Münnich
    Münnich is a German-language surname borne by various notable individuals, including Hungarian communist politician Ferenc Münnich.
  • D. Neumühl
    Neumühl is a district of the town of Kehl in the German state of Baden-Württemberg, located near the French border by Strasbourg.
  • E. Bruckmühl
    Bruckmühl is a market town in Upper Bavaria, Germany, known for its location along the Mangfall River and its proximity to the city of Rosenheim.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a5796df48190b96841c94a6311c0 completed May 16, 2026, 5:12 p.m.
NEDg Description generation batch_6a08a68c08dc8190a09854800df82686 completed May 16, 2026, 5:17 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7331cc88190a9ed6056e5743e69 completed May 16, 2026, 5:19 p.m.
Created at: April 16, 2026, 11:38 a.m.