Triple
T5534721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eysturoy |
E145131
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Selatrað |
E529208
|
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: Selatrað | Statement: [Eysturoy, hasVillage, Selatrað]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selatrað Context triple: [Eysturoy, hasVillage, Selatrað]
-
A.
Selatrað
chosen
Selatrað is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
-
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.
Strendur
Strendur is a village and important local settlement on the island of Eysturoy in the Faroe Islands.
-
D.
Nólsoy
Nólsoy is a small, sparsely populated island in the Faroe Islands known for its traditional village, rich birdlife, and proximity to the capital, Tórshavn.
-
E.
Seskarö
Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
- 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_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_69c04ce1bce4819095559af19cf072f8 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:34 p.m.