Triple

T21900681
Position Surface form Disambiguated ID Type / Status
Subject Gmünd District E540798 entity
Predicate containsTown P847 FINISHED
Object Litschau
Litschau is a small Austrian town in the northern Waldviertel region of Lower Austria, near the border with the Czech Republic.
E1508522 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: Litschau | Statement: [Gmünd District, containsTown, Litschau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Litschau
Context triple: [Gmünd District, containsTown, Litschau]
  • A. Leitzach
    Leitzach is a river in Bavaria, Germany, known as a tributary of the Mangfall that flows through the Alpine foothills.
  • B. Lützenkirchen
    Lützenkirchen is a district of the German city of Leverkusen, located in the state of North Rhine-Westphalia.
  • C. Lützel
    Lützel is a district of the German city of Koblenz, located on the opposite bank of the Moselle River from the historic city center.
  • D. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • E. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • 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: Litschau
Triple: [Gmünd District, containsTown, Litschau]
Generated description
Litschau is a small Austrian town in the northern Waldviertel region of Lower Austria, near the border with the Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Litschau
Target entity description: Litschau is a small Austrian town in the northern Waldviertel region of Lower Austria, near the border with the Czech Republic.
  • A. Leitzach
    Leitzach is a river in Bavaria, Germany, known as a tributary of the Mangfall that flows through the Alpine foothills.
  • B. Lützenkirchen
    Lützenkirchen is a district of the German city of Leverkusen, located in the state of North Rhine-Westphalia.
  • C. Lützel
    Lützel is a district of the German city of Koblenz, located on the opposite bank of the Moselle River from the historic city center.
  • D. Lauibach
    Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
  • E. Scheyern
    Scheyern is a Bavarian municipality best known as the site of Scheyern Abbey, a historic Benedictine monastery and ancestral seat of the Wittelsbach family.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fcb18748190a21071c122b7e6d5 completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a04ffb88190b60422329c11fe58 completed May 18, 2026, 12:15 a.m.
NEDg Description generation batch_6a0a5dc336448190af4ef12bd04f2254 completed May 18, 2026, 12:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5ea822cc8190825f183896a3e1c4 completed May 18, 2026, 12:34 a.m.
Created at: April 16, 2026, 7:07 p.m.