Triple

T20483293
Position Surface form Disambiguated ID Type / Status
Subject Rupertiwinkel E502518 entity
Predicate containsSettlement P847 FINISHED
Object Kienberg
Kienberg is a small settlement located in the Rupertiwinkel region of southeastern Bavaria, Germany.
E1434604 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: Kienberg | Statement: [Rupertiwinkel, containsSettlement, Kienberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kienberg
Context triple: [Rupertiwinkel, containsSettlement, Kienberg]
  • A. Kohnstein
    Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
  • B. Kneiff
    Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
  • C. Reitberg
    Reitberg is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
  • D. Mönchberg
    Mönchberg is a district or neighborhood within the town of Herrenberg in the German state of Baden-Württemberg.
  • E. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • 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: Kienberg
Triple: [Rupertiwinkel, containsSettlement, Kienberg]
Generated description
Kienberg is a small settlement located in the Rupertiwinkel region of southeastern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kienberg
Target entity description: Kienberg is a small settlement located in the Rupertiwinkel region of southeastern Bavaria, Germany.
  • A. Kohnstein
    Kohnstein is a hill in Thuringia, Germany, whose tunnels were used by the Nazis during World War II to house the Mittelwerk underground factory for V-2 rocket production.
  • B. Kneiff
    Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
  • C. Reitberg
    Reitberg is a locality or settlement that forms part of the municipality of Eugendorf in the Austrian state of Salzburg.
  • D. Mönchberg
    Mönchberg is a district or neighborhood within the town of Herrenberg in the German state of Baden-Württemberg.
  • E. Ausserberg
    Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893afefc881909807cd3a2eb92fcf completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894753bb08190a9c07a9264b2b292 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08952b742c8190b00f806ab772e46d completed May 16, 2026, 4:02 p.m.
Created at: April 16, 2026, 11:34 a.m.