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.