Triple

T14881755
Position Surface form Disambiguated ID Type / Status
Subject Dalsland E350016 entity
Predicate hasMajorLake P1025 FINISHED
Object Ärr
Ärr is a lake in the Swedish province of Dalsland, known for its tranquil natural surroundings and freshwater ecosystem.
E1125725 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: Ärr | Statement: [Dalsland, hasMajorLake, Ärr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ärr
Context triple: [Dalsland, hasMajorLake, Ärr]
  • A. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • B. Aari
    Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
  • C. Ter Aar
    Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
  • D. Ätran
    Ätran is a major river in southwestern Sweden that flows through the province of Halland to the Kattegat coast.
  • E. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • 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: Ärr
Triple: [Dalsland, hasMajorLake, Ärr]
Generated description
Ärr is a lake in the Swedish province of Dalsland, known for its tranquil natural surroundings and freshwater ecosystem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ärr
Target entity description: Ärr is a lake in the Swedish province of Dalsland, known for its tranquil natural surroundings and freshwater ecosystem.
  • A. Aar
    Aar is a major river in Switzerland, known as the longest river entirely within the country and a tributary of the High Rhine.
  • B. Aari
    Aari is an Omotic language spoken primarily by the Aari people in southwestern Ethiopia.
  • C. Ter Aar
    Ter Aar is a village in the Dutch province of South Holland, known for its rural character and location within the municipality of Nieuwkoop.
  • D. Ätran
    Ätran is a major river in southwestern Sweden that flows through the province of Halland to the Kattegat coast.
  • E. Andrott
    Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b591f3c81909ea8a9217d96e0d2 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c55d6b88190b0f57009be962194 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e56e7e88190b70497e168d707de completed May 8, 2026, 11:14 p.m.
Created at: April 10, 2026, 1:56 a.m.