Triple

T7303016
Position Surface form Disambiguated ID Type / Status
Subject Karas Region E167904 entity
Predicate containsTown P847 FINISHED
Object Grünau
Grünau is a small rural town in southern Namibia, situated in the arid Karas Region near key transport routes linking the country to South Africa.
 E679048 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: Grünau | Statement: [Karas Region, containsTown, Grünau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grünau
Context triple: [Karas Region, containsTown, Grünau]
  • A. Grünau
    Grünau is a waterside locality in Berlin known for its lakeside recreation areas, rowing facilities, and green residential surroundings.
  • B. Grafenrheinfeld
    Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • E. Erstfeld
    Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
  • 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: Grünau
Triple: [Karas Region, containsTown, Grünau]
Generated description
Grünau is a small rural town in southern Namibia, situated in the arid Karas Region near key transport routes linking the country to South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grünau
Target entity description: Grünau is a small rural town in southern Namibia, situated in the arid Karas Region near key transport routes linking the country to South Africa.
  • A. Grünau
    Grünau is a waterside locality in Berlin known for its lakeside recreation areas, rowing facilities, and green residential surroundings.
  • B. Grafenrheinfeld
    Grafenrheinfeld is a small Bavarian town best known for hosting the former Grafenrheinfeld nuclear power plant on the Main River in northern Germany.
  • C. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • D. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • E. Erstfeld
    Erstfeld is a municipality in the Swiss canton of Uri, situated in a mountainous valley that serves as an important transport corridor through the Alps.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb2261c8190ae9095c8e110b528 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a63b7e481909198ea21d7ee5159 completed March 29, 2026, 3:20 a.m.
NEDg Description generation batch_69c89c3cec988190abc4869dda1b4d05 completed March 29, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69c89c7494b081909862cbaa1152cfb7 completed March 29, 2026, 3:28 a.m.
Created at: March 27, 2026, 3:01 p.m.