Triple

T19288209
Position Surface form Disambiguated ID Type / Status
Subject Åsnes E482368 entity
Predicate hasSettlement P1068 FINISHED
Object Hof
Hof is a village in Åsnes Municipality in Innlandet county, Norway, known as a local rural community center in the Solør district.
E1367353 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: Hof | Statement: [Åsnes, hasSettlement, Hof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hof
Context triple: [Åsnes, hasSettlement, Hof]
  • A. Hof
    Hof is a small settlement within the municipality of Lutzenberg in the Swiss canton of Appenzell Ausserrhoden.
  • B. Hof
    Hof is a town in northeastern Bavaria, Germany, known for its location near the Czech border and its regional cultural and economic significance.
  • C. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • D. Walddorf
    Walddorf is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • E. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western 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: Hof
Triple: [Åsnes, hasSettlement, Hof]
Generated description
Hof is a village in Åsnes Municipality in Innlandet county, Norway, known as a local rural community center in the Solør district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hof
Target entity description: Hof is a village in Åsnes Municipality in Innlandet county, Norway, known as a local rural community center in the Solør district.
  • A. Hof
    Hof is a town in northeastern Bavaria, Germany, known for its location near the Czech border and its regional cultural and economic significance.
  • B. Hof
    Hof is a small settlement within the municipality of Lutzenberg in the Swiss canton of Appenzell Ausserrhoden.
  • C. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • D. Walddorf
    Walddorf is a village-level subdivision of the town of Altensteig in the state of Baden-Württemberg, Germany.
  • E. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc043fa481909bbe281a70fb508e completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e82fe948190a2a07dd91c982423 completed May 15, 2026, 12:16 p.m.
NEDg Description generation batch_6a070f5712548190bdbcf10b36983411 completed May 15, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_6a070fbb93308190acc8625a78477b07 completed May 15, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:30 p.m.