Triple
T35177228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port McNicoll |
E1015740
|
entity |
| Predicate | primaryHarbourUse |
—
|
GENERATED |
| Object | passenger steamship service |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHarbourUse Context triple: [Port McNicoll, primaryHarbourUse, passenger steamship service]
-
A.
harbourUse
chosen
Indicates how a harbour is used or purposed, such as for specific activities, functions, or types of maritime operations.
-
B.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
-
C.
primaryUseOf
Indicates that one entity serves as the main or principal function, purpose, or application of another entity.
-
D.
maritimeUsage
Indicates the extent to which something is used for or involved in maritime activities, such as sea transport, navigation, or ocean-related operations.
-
E.
associatedHarbour
Indicates a relationship where a place, route, or maritime entity is linked to or served by a particular harbour.
- F. None of above.
Provenance (1 batch)
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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.