Triple
T19557651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanday Airport |
E489358
|
entity |
| Predicate | isOnIsland |
P3864
|
FINISHED |
| Object | Sanday |
—
|
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: Sanday | Statement: [Sanday Airport, isOnIsland, Sanday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanday Context triple: [Sanday Airport, isOnIsland, Sanday]
-
A.
Sanday
chosen
Sanday is one of the Orkney Islands of Scotland, known for its long sandy beaches, low-lying fertile farmland, and important archaeological sites.
-
B.
Shapinsay
Shapinsay is a small, fertile island in the Orkney archipelago of Scotland, known for its rich agricultural land, historic estates, and coastal scenery.
-
C.
Sandoy
Sandoy is one of the main islands of the Faroe Islands, known for its relatively flat landscape, sandy beaches, and traditional villages.
-
D.
Sanday (Small Isles)
Sanday is a small, sparsely populated Scottish island in the Inner Hebrides, known for its rugged coastline and wildlife.
-
E.
Rousay
Rousay is a small, archaeologically rich island in Orkney, Scotland, noted for its numerous prehistoric sites and scenic coastal landscapes.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d34d1bc81908e5e10f069655866 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:42 p.m.