Triple
T22470767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miðvágur |
E555491
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Vágar |
—
|
NE NERFINISHED |
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: Vágar | Statement: [Miðvágur, locatedOn, Vágar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vágar Context triple: [Miðvágur, locatedOn, Vágar]
-
A.
Vágar
chosen
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.
-
B.
Frövi
Frövi is a small locality in central Sweden known historically as a railway junction and industrial community.
-
C.
Vikøyri
Vikøyri is a village in Vestland county, Norway, known as the main settlement and service hub of the Vik municipality along the Sognefjorden.
-
D.
Miðvágur
Miðvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to the scenic Sørvágsvatn lake.
-
E.
Sørvágur
Sørvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to Vágar Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdf6dfc8190aa8dc80ad92a9267 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.