Triple

T5534706
Position Surface form Disambiguated ID Type / Status
Subject Eysturoy E145131 entity
Predicate hasFjord P56784 FINISHED
Object Gøtuvík
Gøtuvík is a fjord on the island of Eysturoy in the Faroe Islands, known for its sheltered waters and surrounding steep, rugged coastline.
E527965 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: Gøtuvík | Statement: [Eysturoy, hasFjord, Gøtuvík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gøtuvík
Context triple: [Eysturoy, hasFjord, Gøtuvík]
  • A. Jórvík
    Jórvík is the Old Norse name for the city of York during its period as a major Viking settlement and trading center in early medieval England.
  • B. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • C. Lundenwic
    Lundenwic was the early medieval trading settlement and urban center of the Middle Saxons that preceded the later walled city of London.
  • D. Garðabær
    Garðabær is a suburban municipality in the Capital Region of Iceland, known for being part of the greater Reykjavík area and hosting some of the country’s prominent residential neighborhoods.
  • E. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • 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: Gøtuvík
Triple: [Eysturoy, hasFjord, Gøtuvík]
Generated description
Gøtuvík is a fjord on the island of Eysturoy in the Faroe Islands, known for its sheltered waters and surrounding steep, rugged coastline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gøtuvík
Target entity description: Gøtuvík is a fjord on the island of Eysturoy in the Faroe Islands, known for its sheltered waters and surrounding steep, rugged coastline.
  • A. Jórvík
    Jórvík is the Old Norse name for the city of York during its period as a major Viking settlement and trading center in early medieval England.
  • B. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • C. Lundenwic
    Lundenwic was the early medieval trading settlement and urban center of the Middle Saxons that preceded the later walled city of London.
  • D. Garðabær
    Garðabær is a suburban municipality in the Capital Region of Iceland, known for being part of the greater Reykjavík area and hosting some of the country’s prominent residential neighborhoods.
  • E. Leirvik
    Leirvik is the main town on the island of Stord in western Norway, serving as an important local commercial and administrative center.
  • 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_69c033df2c7881909660eb931908318c completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034640cd081909b44ff23e9005e57 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:34 p.m.