Triple

T13972417
Position Surface form Disambiguated ID Type / Status
Subject Bernkastel-Kues E336097 entity
Predicate hasPart P35 FINISHED
Object Kues
Kues is a district of the town Bernkastel-Kues in Germany, known for its historic architecture and location along the Moselle River.
 E1071893 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: Kues | Statement: [Bernkastel-Kues, hasPart, Kues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kues
Context triple: [Bernkastel-Kues, hasPart, Kues]
  • A. Kuku
    Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
  • B. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Kysset
    Kysset is the original Norwegian title of Edvard Munch’s painting "The Kiss," a symbolist work depicting an intimate, merging embrace between two lovers.
  • E. Koekange
    Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • 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: Kues
Triple: [Bernkastel-Kues, hasPart, Kues]
Generated description
Kues is a district of the town Bernkastel-Kues in Germany, known for its historic architecture and location along the Moselle River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kues
Target entity description: Kues is a district of the town Bernkastel-Kues in Germany, known for its historic architecture and location along the Moselle River.
  • A. Kuku
    Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
  • B. Koki
    Koki is a fictional character associated with Raka, likely appearing alongside them in a shared narrative or story.
  • C. Kiesen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • D. Kysset
    Kysset is the original Norwegian title of Edvard Munch’s painting "The Kiss," a symbolist work depicting an intimate, merging embrace between two lovers.
  • E. Koekange
    Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1df334c8190a3d65198cc3d11f6 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba5918348819084fa4235eec6eee0 completed May 6, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69fba6b5e4f4819088e8a0629e17e4cc completed May 6, 2026, 8:38 p.m.
Created at: April 9, 2026, 10:18 p.m.