Triple
T6394406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streymoy |
E143905
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Kvívík
Kvívík is a small coastal village in the Faroe Islands known for its scenic fjord setting and traditional Faroese character.
|
E592884
|
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: Kvívík | Statement: [Streymoy, hasVillage, Kvívík]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kvívík Context triple: [Streymoy, hasVillage, Kvívík]
-
A.
Hustadvika
Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
-
B.
Vágar
Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
-
C.
Hvalvík
Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
-
D.
Sørvágur
Sørvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to Vágar Airport.
-
E.
Øravík
Øravík is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
- 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: Kvívík Triple: [Streymoy, hasVillage, Kvívík]
Generated description
Kvívík is a small coastal village in the Faroe Islands known for its scenic fjord setting and traditional Faroese character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kvívík Target entity description: Kvívík is a small coastal village in the Faroe Islands known for its scenic fjord setting and traditional Faroese character.
-
A.
Hustadvika
Hustadvika is a coastal municipality in western Norway known for its rugged shoreline and treacherous shipping waters along the Norwegian Sea.
-
B.
Vágar
Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
-
C.
Hvalvík
chosen
Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
-
D.
Sørvágur
Sørvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to Vágar Airport.
-
E.
Øravík
Øravík is a small village on the Faroe Islands' southernmost island of Suðuroy, known for its coastal setting and traditional Faroese character.
- F. None of above.
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_69c64bb0a0bc819098a5a753d0be52a1 |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64db656a08190b278d4cd9ec45de9 |
completed | March 27, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64e5cd1b88190abcdc8af02991d1d |
completed | March 27, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:35 p.m.