Triple

T11369284
Position Surface form Disambiguated ID Type / Status
Subject Saarbrücken E269297 entity
Predicate hasDistrict P459 FINISHED
Object Burbach
Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
 E945161 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: Burbach | Statement: [Saarbrücken, hasDistrict, Burbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burbach
Context triple: [Saarbrücken, hasDistrict, Burbach]
  • A. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • B. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • C. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • D. Monschau
    Monschau is a historic small town in western Germany’s Eifel region, known for its well-preserved half-timbered houses, medieval center, and scenic setting along the Rur River.
  • E. Ahrweiler
    Ahrweiler is a district in the German state of Rhineland-Palatinate, known for its wine-growing Ahr Valley and historic towns.
  • 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: Burbach
Triple: [Saarbrücken, hasDistrict, Burbach]
Generated description
Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burbach
Target entity description: Burbach is a district of the city of Saarbrücken in the German federal state of Saarland.
  • A. Beutelsbach
    Beutelsbach is a small municipality in the rural Passau district of Lower Bavaria in southeastern Germany.
  • B. Neuß
    Neuß is an alternative spelling of Neuss, a historic city on the Rhine in North Rhine-Westphalia, Germany.
  • C. Eberbach
    Eberbach is a small historic town in southwestern Germany, known for its picturesque location in the Odenwald hills along the Neckar River.
  • D. Monschau
    Monschau is a historic small town in western Germany’s Eifel region, known for its well-preserved half-timbered houses, medieval center, and scenic setting along the Rur River.
  • E. Ahrweiler
    Ahrweiler is a district in the German state of Rhineland-Palatinate, known for its wine-growing Ahr Valley and historic towns.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08f0d9d0c8190a7b84e647c7491e9 completed April 28, 2026, 10:42 a.m.
NEDg Description generation batch_69f0bd36673881908530b68e496c3d2e completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0eec1f5d081908624fe2a93995fe5 completed April 28, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:33 p.m.