Triple

T20367274
Position Surface form Disambiguated ID Type / Status
Subject Åfjord E496945 entity
Predicate hasSettlement P1068 FINISHED
Object Revsnes
Revsnes is a small settlement in the municipality of Åfjord in Trøndelag county, Norway.
E1426447 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: Revsnes | Statement: [Åfjord, hasSettlement, Revsnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Revsnes
Context triple: [Åfjord, hasSettlement, Revsnes]
  • A. Drusberg
    Drusberg is a mountain in the Swiss Alps known for its scenic hiking routes and panoramic views over central Switzerland.
  • B. Revdanda
    Revdanda is a coastal village in Maharashtra, India, known for its historic Portuguese-era fort, beaches, and coconut groves.
  • C. Valsayn
    Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Cincars
    Cincars are an exonym for the Aromanians, a Romance-speaking ethnic group native to the Balkans.
  • 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: Revsnes
Triple: [Åfjord, hasSettlement, Revsnes]
Generated description
Revsnes is a small settlement in the municipality of Åfjord in Trøndelag county, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Revsnes
Target entity description: Revsnes is a small settlement in the municipality of Åfjord in Trøndelag county, Norway.
  • A. Drusberg
    Drusberg is a mountain in the Swiss Alps known for its scenic hiking routes and panoramic views over central Switzerland.
  • B. Revdanda
    Revdanda is a coastal village in Maharashtra, India, known for its historic Portuguese-era fort, beaches, and coconut groves.
  • C. Valsayn
    Valsayn is a suburban residential community in Trinidad and Tobago known for its middle- to upper-income housing and proximity to the Eastern Main Road and major urban centers.
  • D. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • E. Cincars
    Cincars are an exonym for the Aromanians, a Romance-speaking ethnic group native to the Balkans.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787291d88190a526fe2461d2a7c6 completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708d48c08190ac0ccbc910d4af4b completed May 16, 2026, 1:26 p.m.
NEDg Description generation batch_6a087129ce3c8190a67ac34ec697ad31 completed May 16, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0871e3573c81908216b5e508374081 completed May 16, 2026, 1:32 p.m.
Created at: April 16, 2026, 11:26 a.m.