Triple

T20495524
Position Surface form Disambiguated ID Type / Status
Subject Bludenz E502861 entity
Predicate locatedNear P294 FINISHED
Object Brandnertal
Brandnertal is a scenic alpine valley and ski resort area in the Austrian state of Vorarlberg, known for its hiking, skiing, and mountain landscapes near the town of Bludenz.
E1435017 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: Brandnertal | Statement: [Bludenz, locatedNear, Brandnertal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brandnertal
Context triple: [Bludenz, locatedNear, Brandnertal]
  • A. Boalsert
    Boalsert is the West Frisian name for the historic Dutch city of Bolsward in the province of Friesland.
  • B. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • C. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • D. Bosseborn
    Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • E. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, 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: Brandnertal
Triple: [Bludenz, locatedNear, Brandnertal]
Generated description
Brandnertal is a scenic alpine valley and ski resort area in the Austrian state of Vorarlberg, known for its hiking, skiing, and mountain landscapes near the town of Bludenz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brandnertal
Target entity description: Brandnertal is a scenic alpine valley and ski resort area in the Austrian state of Vorarlberg, known for its hiking, skiing, and mountain landscapes near the town of Bludenz.
  • A. Boalsert
    Boalsert is the West Frisian name for the historic Dutch city of Bolsward in the province of Friesland.
  • B. Belpberg
    Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
  • C. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • D. Bosseborn
    Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • E. Bechtsrieth
    Bechtsrieth is a small municipality in the Upper Palatinate region of Bavaria, 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbd2dfc81908204f7bfa8a763b6 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bad0388190b06b996936bea541 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a08965ee3108190a093441999b7f96c completed May 16, 2026, 4:07 p.m.
NED2 Entity disambiguation (via description) batch_6a08972f5a8c8190a73695ac19823e13 completed May 16, 2026, 4:11 p.m.
Created at: April 16, 2026, 11:35 a.m.