Triple
T31236934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baydaratskaya Bay |
E796449
|
entity |
| Predicate | belongsToSeaRoute |
P62174
|
FINISHED |
| Object | Northern Sea Route region |
—
|
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: Northern Sea Route region | Statement: [Baydaratskaya Bay, belongsToSeaRoute, Northern Sea Route region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSeaRoute Context triple: [Baydaratskaya Bay, belongsToSeaRoute, Northern Sea Route region]
-
A.
associatedWithSeaRoute
chosen
Indicates a relationship where something is connected or related to a particular sea route, such as by use, location, or relevance.
-
B.
isMaritimeRoute
Indicates that one location is connected to another by a navigable sea or ocean route used for maritime transport.
-
C.
hasSeaRouteConnection
Indicates that there exists a navigable maritime route linking two locations or entities.
-
D.
controlledSeaRoute
Indicates that one entity has authority over, or the ability to regulate and manage access through, a particular maritime route used for navigation or transport.
-
E.
belongsToSea
Indicates that something is a part of, contained within, or naturally associated with a particular sea.
- 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_69f224db69ac81909a370adad6a7ac7c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 29, 2026, 9:11 p.m.