Triple
T6556740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eggjarklettur |
E152466
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Nólsoy |
E152466
|
NE FINISHED |
How this triple was built (2 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: Nólsoy | Statement: [Eggjarklettur, locatedOn, Nólsoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nólsoy Context triple: [Eggjarklettur, locatedOn, Nólsoy]
-
A.
Nólsoy
chosen
Nólsoy is a small, sparsely populated island in the Faroe Islands known for its traditional village, rich birdlife, and proximity to the capital, Tórshavn.
-
B.
Kalsoy
Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
-
C.
Mykines
Mykines is the westernmost island of the Faroe Islands, famed for its dramatic cliffs, rich birdlife—especially puffins—and remote, rugged landscapes.
-
D.
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.
-
E.
Eivissa
Eivissa is the Catalan name for Ibiza, a popular Mediterranean island in Spain’s Balearic archipelago known for its beaches and nightlife.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1d28bc8190a2fa4b3e1e39863c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d559ad4881909c1e7712d84945f6 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.