Triple

T16471416
Position Surface form Disambiguated ID Type / Status
Subject Murgtal E400070 entity
Predicate contains P35 FINISHED
Object Schwarzenberg
Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
E1216558 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: Schwarzenberg | Statement: [Murgtal, contains, Schwarzenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwarzenberg
Context triple: [Murgtal, contains, Schwarzenberg]
  • A. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • B. Schwarzenburg
    Schwarzenburg is a municipality in the canton of Bern, Switzerland, known for its rural character and location in the Sense district southwest of the city of Bern.
  • C. Senftenberg
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • D. Zamberk
    Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
  • E. Schlettau
    Schlettau is a small locality in the town of Wettin-Löbejün in the German state of Saxony-Anhalt.
  • 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: Schwarzenberg
Triple: [Murgtal, contains, Schwarzenberg]
Generated description
Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwarzenberg
Target entity description: Schwarzenberg is a locality situated within Germany’s Murgtal valley region.
  • A. Schwarzenberg
    Schwarzenberg is the noble family name of a prominent Central European princely house historically influential in Austrian and Bohemian politics and military affairs.
  • B. Schwarzenburg
    Schwarzenburg is a municipality in the canton of Bern, Switzerland, known for its rural character and location in the Sense district southwest of the city of Bern.
  • C. Senftenberg
    Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
  • D. Zamberk
    Zamberk is a small historic town in the Pardubice Region of the Czech Republic, known for its traditional architecture and scenic setting in the Orlické Mountains foothills.
  • E. Schlettau
    Schlettau is a small locality in the town of Wettin-Löbejün in the German state of Saxony-Anhalt.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581c24508190b4888357828fed80 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a00592562708190ae88f24fb34c7a02 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a005a17fd648190b2c6843f47a9ee2c completed May 10, 2026, 10:12 a.m.
Created at: April 10, 2026, 5:11 a.m.