Triple
T6394420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Streymoy |
E143905
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | Vágar |
E145132
|
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: Vágar | Statement: [Streymoy, hasRoadConnection, Vágar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vágar Context triple: [Streymoy, hasRoadConnection, 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.
Miðvágur
Miðvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to the scenic Sørvágsvatn lake.
-
C.
Sørvágur
Sørvágur is a village on the Faroe Islands' island of Vágar, known for its coastal setting and proximity to Vágar Airport.
-
D.
Viðoy
Viðoy is one of the northernmost and more sparsely populated islands of the Faroe Islands, known for its dramatic cliffs and rugged coastal scenery.
-
E.
Gardar
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
- 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_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_69c65fc0d90c8190abf85b591e90e292 |
completed | March 27, 2026, 10:45 a.m. |
Created at: March 22, 2026, 4:35 p.m.