Triple
T20319584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallaig–Armadale ferry route |
E492173
|
entity |
| Predicate | connectsToIslandRoadNetwork |
P53472
|
FINISHED |
| Object | Skye road network |
—
|
LITERAL 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: Skye road network | Statement: [Mallaig–Armadale ferry route, connectsToIslandRoadNetwork, Skye road network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToIslandRoadNetwork Context triple: [Mallaig–Armadale ferry route, connectsToIslandRoadNetwork, Skye road network]
-
A.
isRoadConnectedWithinIsland
Indicates that two locations on the same island are connected by a continuous road network without leaving the island.
-
B.
connectsIslands
chosen
Indicates a relationship where something (such as a structure, route, or link) joins or provides passage between two or more islands.
-
C.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
D.
linkedByRoadTo
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
E.
trailNetworkIncludes
Indicates that a specific trail network contains or encompasses a given trail segment or component as part of its overall system.
- F. None of above.
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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b23a0788190bf1853ef5b81823f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:20 a.m.