Triple

T20064918
Position Surface form Disambiguated ID Type / Status
Subject Flåvatn E499582 entity
Predicate hasShorelineSettlement P969 FINISHED
Object Flåbygd
Flåbygd is a small rural village in Norway known for its scenic location along the shores of Lake Flåvatn in the Telemark region.
E1410820 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: Flåbygd | Statement: [Flåvatn, hasShorelineSettlement, Flåbygd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flåbygd
Context triple: [Flåvatn, hasShorelineSettlement, Flåbygd]
  • A. Tørvikbygd
    Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
  • B. Vestbygd
    Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
  • C. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • D. Vassbygda
    Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
  • E. Nordby
    Nordby is a village in the municipality of Ås in Viken county, Norway, known for its residential areas and proximity to the Oslo region.
  • 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: Flåbygd
Triple: [Flåvatn, hasShorelineSettlement, Flåbygd]
Generated description
Flåbygd is a small rural village in Norway known for its scenic location along the shores of Lake Flåvatn in the Telemark region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flåbygd
Target entity description: Flåbygd is a small rural village in Norway known for its scenic location along the shores of Lake Flåvatn in the Telemark region.
  • A. Tørvikbygd
    Tørvikbygd is a small coastal village in the municipality of Kvam in Vestland county, western Norway, known for its scenic fjordside setting and traditional rural character.
  • B. Vestbygd
    Vestbygd is a small settlement in the municipality of Lødingen in Nordland county, Norway.
  • C. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • D. Vassbygda
    Vassbygda is a small village in the former Agdenes municipality in Trøndelag county, central Norway.
  • E. Nordby
    Nordby is a village in the municipality of Ås in Viken county, Norway, known for its residential areas and proximity to the Oslo region.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e663787190819096b2b78b38c1bf12 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f38a7d88190ab158529cea64f87 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0823b9f6b081908b71f1061446e31e completed May 16, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a08247ad2b0819095315aec25816448 completed May 16, 2026, 8:02 a.m.
Created at: April 11, 2026, 3:39 p.m.