Triple

T19058627
Position Surface form Disambiguated ID Type / Status
Subject Rheinhessen wine region E466463 entity
Predicate containsTown P847 FINISHED
Object Nierstein
Nierstein is a historic German town on the Rhine renowned for its high-quality Riesling wines and steep vineyard slopes.
E1356755 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: Nierstein | Statement: [Rheinhessen wine region, containsTown, Nierstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nierstein
Context triple: [Rheinhessen wine region, containsTown, Nierstein]
  • A. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • B. Neudorf
    Neudorf is a village-level subdivision of the Tyrolean municipality of Umhausen in western Austria.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • E. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • 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: Nierstein
Triple: [Rheinhessen wine region, containsTown, Nierstein]
Generated description
Nierstein is a historic German town on the Rhine renowned for its high-quality Riesling wines and steep vineyard slopes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nierstein
Target entity description: Nierstein is a historic German town on the Rhine renowned for its high-quality Riesling wines and steep vineyard slopes.
  • A. Neudorf
    Neudorf is a residential district of Strasbourg, France, known for its dense urban fabric, local commerce, and proximity to the city center.
  • B. Neudorf
    Neudorf is a village-level subdivision of the Tyrolean municipality of Umhausen in western Austria.
  • C. Brackenberg
    Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
  • D. Niederweyer
    Niederweyer is a village-level district that forms part of the town of Hadamar in the German state of Hesse.
  • E. Brackenheim
    Brackenheim is a small town in the German state of Baden-Württemberg, best known as the birthplace of Theodor Heuss, the first President of the Federal Republic of Germany.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3544f948190bd6dd96af6045606 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d4abc6c48190953b468326c43efc completed May 14, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05d565fc6c8190b9f2ff28657a857f completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:03 p.m.