Triple

T15940475
Position Surface form Disambiguated ID Type / Status
Subject canton of Appenzell Ausserrhoden E386544 entity
Predicate hasMunicipality P847 FINISHED
Object Waldstatt
Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
E1229227 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: Waldstatt | Statement: [canton of Appenzell Ausserrhoden, hasMunicipality, Waldstatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldstatt
Context triple: [canton of Appenzell Ausserrhoden, hasMunicipality, Waldstatt]
  • A. Burgwald
    Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
  • B. Burgwald
    Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
  • C. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • D. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • E. Schutterwald
    Schutterwald is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
  • 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: Waldstatt
Triple: [canton of Appenzell Ausserrhoden, hasMunicipality, Waldstatt]
Generated description
Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waldstatt
Target entity description: Waldstatt is a small Swiss municipality located in the canton of Appenzell Ausserrhoden.
  • A. Burgwald
    Burgwald is a low mountain range in the German state of Hesse, characterized by extensive forests and gently rolling hills.
  • B. Burgwald
    Burgwald is a small settlement in the German region of Westphalia, known for its rural character and proximity to forested landscapes.
  • C. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • D. Weidenau
    Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
  • E. Schutterwald
    Schutterwald is a municipality in southwestern Germany’s Baden-Württemberg region, situated within the Ortenau district near the Rhine and the French border.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009183a94081909c5892b1ccbc1d7a completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 4:53 a.m.