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.