Triple
T6394404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streymoy |
E143905
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Tjørnuvík
Tjørnuvík is a small, picturesque coastal village in the Faroe Islands, known for its dramatic surrounding mountains, black sand beach, and views of the sea stacks Risin og Kellingin.
|
E591332
|
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: Tjørnuvík | Statement: [Streymoy, hasVillage, Tjørnuvík]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tjørnuvík Context triple: [Streymoy, hasVillage, Tjørnuvík]
-
A.
Hustadvika
Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
-
B.
Lenakel
Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
-
C.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
-
D.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
E.
Tjeldsund
Tjeldsund is a coastal municipality in northern Norway known for its location around the Tjeldsundet strait and its mix of island and mainland landscapes.
- 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: Tjørnuvík Triple: [Streymoy, hasVillage, Tjørnuvík]
Generated description
Tjørnuvík is a small, picturesque coastal village in the Faroe Islands, known for its dramatic surrounding mountains, black sand beach, and views of the sea stacks Risin og Kellingin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tjørnuvík Target entity description: Tjørnuvík is a small, picturesque coastal village in the Faroe Islands, known for its dramatic surrounding mountains, black sand beach, and views of the sea stacks Risin og Kellingin.
-
A.
Hustadvika
Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
-
B.
Lenakel
Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
-
C.
Ulsteinvik
Ulsteinvik is a coastal town in western Norway known for its maritime industry and shipbuilding, serving as the administrative center of Ulstein Municipality.
-
D.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
-
E.
Tjeldsund
Tjeldsund is a coastal municipality in northern Norway known for its location around the Tjeldsundet strait and its mix of island and mainland landscapes.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06881313481908e9082ffe57f29b6 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638935934819096a34da6f1b5110b |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c63c71ac188190ad7912d2e6a68af8 |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cdf225c8190b26a23496d0acc1a |
completed | March 27, 2026, 8:16 a.m. |
Created at: March 22, 2026, 4:35 p.m.