Triple
T23203033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faroese rowing |
E580369
|
entity |
| Predicate | boatConstructionStyle |
P8584
|
FINISHED |
| Object | clinker-built hulls |
—
|
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: clinker-built hulls | Statement: [Faroese rowing, boatConstructionStyle, clinker-built hulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boatConstructionStyle Context triple: [Faroese rowing, boatConstructionStyle, clinker-built hulls]
-
A.
boatConstructionMaterial
Indicates the material from which a boat is (or was) constructed.
-
B.
boatDecorationStyle
Indicates the stylistic theme or manner in which a boat is decorated.
-
C.
hullConstruction
Indicates the process or activity of building, assembling, or forming the main body (hull) of a vessel or similar structure.
-
D.
hullType
chosen
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
E.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907a8bb48190846802a24d33bccf |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.