Triple

T19841145
Position Surface form Disambiguated ID Type / Status
Subject Kitzbühel District E476730 entity
Predicate contains P35 FINISHED
Object Brixental
Brixental is a scenic alpine valley in the Austrian state of Tyrol, known for its traditional villages, skiing areas, and hiking trails.
E1404306 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: Brixental | Statement: [Kitzbühel District, contains, Brixental]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brixental
Context triple: [Kitzbühel District, contains, Brixental]
  • A. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • B. Haslital
    Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
  • C. Schruns
    Schruns is a small alpine town and popular ski resort in the Montafon valley of Vorarlberg, western Austria.
  • D. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • E. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • 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: Brixental
Triple: [Kitzbühel District, contains, Brixental]
Generated description
Brixental is a scenic alpine valley in the Austrian state of Tyrol, known for its traditional villages, skiing areas, and hiking trails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brixental
Target entity description: Brixental is a scenic alpine valley in the Austrian state of Tyrol, known for its traditional villages, skiing areas, and hiking trails.
  • A. Gimmelwald
    Gimmelwald is a small, traditional Swiss alpine village known for its dramatic mountain scenery and tranquil, car-free atmosphere in the Bernese Oberland.
  • B. Haslital
    Haslital is a valley in the Bernese Oberland region of Switzerland, known for its dramatic alpine landscapes, waterfalls, and access to major mountain passes.
  • C. Schruns
    Schruns is a small alpine town and popular ski resort in the Montafon valley of Vorarlberg, western Austria.
  • D. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • E. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07fdb975548190b83292a14fded6a1 completed May 16, 2026, 5:16 a.m.
NEDg Description generation batch_6a07fe81005081909b70102524cb8fda completed May 16, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_6a07feeec210819084d6a6cf472fc45f completed May 16, 2026, 5:21 a.m.
Created at: April 10, 2026, 1:51 p.m.