Triple

T14482220
Position Surface form Disambiguated ID Type / Status
Subject Walser German dialects E359133 entity
Predicate spokenIn P2266 FINISHED
Object Tannberg
Tannberg is a mountainous region in the Austrian Alps known for its traditional Walser settlements and distinctive Alemannic culture.
E1100447 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: Tannberg | Statement: [Walser German dialects, spokenIn, Tannberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tannberg
Context triple: [Walser German dialects, spokenIn, Tannberg]
  • A. Grottger
    Grottger is the surname of Artur Grottger, a 19th-century Polish Romantic painter known for his patriotic and historical works.
  • B. Nünchritz
    Nünchritz is a small municipality in the Free State of Saxony in eastern Germany, known for its industrial facilities and location along the Elbe River.
  • C. Kriegstetten
    Kriegstetten is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau region.
  • D. Mannswörth
    Mannswörth is a village and cadastral community in Lower Austria, known for its proximity to Vienna and the Vienna International Airport.
  • E. Trautenstein
    Trautenstein is a village in the Harz region of Saxony-Anhalt, Germany, now incorporated into the town of Oberharz am Brocken.
  • 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: Tannberg
Triple: [Walser German dialects, spokenIn, Tannberg]
Generated description
Tannberg is a mountainous region in the Austrian Alps known for its traditional Walser settlements and distinctive Alemannic culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tannberg
Target entity description: Tannberg is a mountainous region in the Austrian Alps known for its traditional Walser settlements and distinctive Alemannic culture.
  • A. Grottger
    Grottger is the surname of Artur Grottger, a 19th-century Polish Romantic painter known for his patriotic and historical works.
  • B. Nünchritz
    Nünchritz is a small municipality in the Free State of Saxony in eastern Germany, known for its industrial facilities and location along the Elbe River.
  • C. Kriegstetten
    Kriegstetten is a small municipality in the canton of Solothurn in Switzerland, situated in the Swiss Plateau region.
  • D. Mannswörth
    Mannswörth is a village and cadastral community in Lower Austria, known for its proximity to Vienna and the Vienna International Airport.
  • E. Trautenstein
    Trautenstein is a village in the Harz region of Saxony-Anhalt, Germany, now incorporated into the town of Oberharz am Brocken.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924bc548819087a2f693840d7426 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a41a8c819081a3eaabbe66577a completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd65cf06308190bf7b6463bc109542 completed May 8, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69fd66476ab88190b2d410ced33ce34b completed May 8, 2026, 4:27 a.m.
Created at: April 10, 2026, 1:20 a.m.