Triple

T8797477
Position Surface form Disambiguated ID Type / Status
Subject Bad Camberg E209324 entity
Predicate hasPart P35 FINISHED
Object Würges
Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
 E759622 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: Würges | Statement: [Bad Camberg, hasPart, Würges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Würges
Context triple: [Bad Camberg, hasPart, Würges]
  • A. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • B. Wichtrach
    Wichtrach is a municipality in the canton of Bern in Switzerland, situated in the Aare valley between the cities of Bern and Thun.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • 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: Würges
Triple: [Bad Camberg, hasPart, Würges]
Generated description
Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Würges
Target entity description: Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
  • A. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • B. Wichtrach
    Wichtrach is a municipality in the canton of Bern in Switzerland, situated in the Aare valley between the cities of Bern and Thun.
  • C. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • D. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • E. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f5d655881909013ac3e2ac0cebb completed April 3, 2026, 7:42 a.m.
NEDg Description generation batch_69cf71c118848190a937ecf714556ef3 completed April 3, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69cf744b17e88190b14607e6dff823a3 completed April 3, 2026, 8:03 a.m.
Created at: March 30, 2026, 6:44 p.m.