Triple

T22030813
Position Surface form Disambiguated ID Type / Status
Subject Linz-Land District E544079 entity
Predicate hasMunicipality P847 FINISHED
Object Kronstorf
Kronstorf is a municipality in Upper Austria known for its rural character and proximity to the industrial and cultural center of Linz.
E1561317 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: Kronstorf | Statement: [Linz-Land District, hasMunicipality, Kronstorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kronstorf
Context triple: [Linz-Land District, hasMunicipality, Kronstorf]
  • A. Krottendorf
    Krottendorf is a locality that forms part of the municipality of Thalgau in the Austrian state of Salzburg.
  • B. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • C. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • D. Crottendorf
    Crottendorf is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and mountain village traditions.
  • E. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • 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: Kronstorf
Triple: [Linz-Land District, hasMunicipality, Kronstorf]
Generated description
Kronstorf is a municipality in Upper Austria known for its rural character and proximity to the industrial and cultural center of Linz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kronstorf
Target entity description: Kronstorf is a municipality in Upper Austria known for its rural character and proximity to the industrial and cultural center of Linz.
  • A. Krottendorf
    Krottendorf is a locality that forms part of the municipality of Thalgau in the Austrian state of Salzburg.
  • B. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • C. Kronsberg
    Kronsberg is a location in Germany known, among other things, as the place where former Nazi youth leader Baldur von Schirach died.
  • D. Crottendorf
    Crottendorf is a small town in the Ore Mountains of Saxony, Germany, historically shaped by regional mining and mountain village traditions.
  • E. Siegsdorf
    Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ed0cb08190aead0838cc62934c completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc22afa788190a93dc2beeeeedcc3 completed May 19, 2026, 1:51 a.m.
NEDg Description generation batch_6a0bc31b94f481909c437296742cfed8 completed May 19, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc38cf34c8190aaca05bbf32d28de completed May 19, 2026, 1:57 a.m.
Created at: April 16, 2026, 8:24 p.m.