Triple

T5198106
Position Surface form Disambiguated ID Type / Status
Subject Salzburg-Umgebung District E117321 entity
Predicate hasMunicipality P847 FINISHED
Object Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
E517451 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: Köstendorf | Statement: [Salzburg-Umgebung District, hasMunicipality, Köstendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köstendorf
Context triple: [Salzburg-Umgebung District, hasMunicipality, Köstendorf]
  • A. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • B. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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: Köstendorf
Triple: [Salzburg-Umgebung District, hasMunicipality, Köstendorf]
Generated description
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Köstendorf
Target entity description: Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • A. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • B. Kreuth
    Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
  • C. Langendorf
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • D. Reundorf
    Reundorf is a village-level subdivision of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a1f154481908be5d3c9cbbef92a completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf331540108190b4251183d7738041 completed March 22, 2026, 12:08 a.m.
NEDg Description generation batch_69bf340a51848190b4722f456f997833 completed March 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf34714e808190b06b47891ea31bbf completed March 22, 2026, 12:14 a.m.
Created at: March 20, 2026, 1:47 p.m.