Triple
T3486589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Duluth-Superior |
E73620
|
entity |
| Predicate | waterwayTerminusOf |
P2432
|
FINISHED |
| Object | Great Lakes navigation system |
—
|
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: Great Lakes navigation system | Statement: [Port of Duluth-Superior, waterwayTerminusOf, Great Lakes navigation system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterwayTerminusOf Context triple: [Port of Duluth-Superior, waterwayTerminusOf, Great Lakes navigation system]
-
A.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
-
B.
waterwayJunction
Indicates a point where two or more waterways meet, intersect, or branch from one another.
-
C.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
D.
distributaryOf
Indicates that one watercourse branches off from a main river or stream and carries its water away, rather than feeding into it.
-
E.
waterwaySystem
chosen
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb9059f881908f9cbe544365c8df |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.