Triple

T5534680
Position Surface form Disambiguated ID Type / Status
Subject Eysturoy E145131 entity
Predicate hasMajorSettlement P316 FINISHED
Object Norðragøta
Norðragøta is a village on the Faroe Islands’ island of Eysturoy, known for its scenic coastal setting and traditional Faroese culture.
E529204 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: Norðragøta | Statement: [Eysturoy, hasMajorSettlement, Norðragøta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norðragøta
Context triple: [Eysturoy, hasMajorSettlement, Norðragøta]
  • A. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • B. Vörå
    Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
  • C. Eidfjord
    Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
  • D. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • E. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • 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: Norðragøta
Triple: [Eysturoy, hasMajorSettlement, Norðragøta]
Generated description
Norðragøta is a village on the Faroe Islands’ island of Eysturoy, known for its scenic coastal setting and traditional Faroese culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norðragøta
Target entity description: Norðragøta is a village on the Faroe Islands’ island of Eysturoy, known for its scenic coastal setting and traditional Faroese culture.
  • A. Snogebæk
    Snogebæk is a small coastal village and fishing hamlet on the Danish island of Bornholm, known for its harbor, beaches, and holiday atmosphere.
  • B. Vörå
    Vörå is a bilingual municipality in western Finland known for its rural landscapes and strong Swedish-speaking cultural heritage.
  • C. Eidfjord
    Eidfjord is a small Norwegian village and municipality in Vestland county, known for its dramatic fjord landscape, waterfalls, and status as a popular cruise and tourist destination.
  • D. Nesset
    Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
  • E. Fyris River
    The Fyris River is a notable waterway in eastern Sweden that flows through the city of Uppsala and is closely associated with its history and landscape.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fa0141c81909a216be9f48d64e1 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02810084c81909fde56d6ee4ad328 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033ddc7148190ba64ebfc2472c367 completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c036725fc481908ab0e260892d8243 completed March 22, 2026, 6:35 p.m.
Created at: March 22, 2026, 3:34 p.m.