Triple
T23860382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyashio |
E592429
|
entity |
| Predicate | countryCoastlineAffected |
P32806
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [Oyashio, countryCoastlineAffected, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCoastlineAffected Context triple: [Oyashio, countryCoastlineAffected, Russia]
-
A.
countryCoastlineOf
Indicates that a country has the specified coastline as part of its national territory or boundary.
-
B.
countryCoast
Indicates that a country has a coastline along a sea or ocean.
-
C.
influencedCoastlineOf
chosen
Indicates that one entity has affected, shaped, or altered the characteristics, form, or condition of another entity’s coastline.
-
D.
hasCountryCoastline
Indicates that a country possesses a coastline along a sea or ocean.
-
E.
hasCoastlineInfluence
Indicates that one entity exerts an effect or is significantly shaped by the presence, characteristics, or proximity of a coastline 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cadf91948190bed71376e6639294 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.