Triple
T23371992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Матуа |
E593498
|
entity |
| Predicate | окружёнЧем |
P7850
|
FINISHED |
| Object | холодные океанические воды |
—
|
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: холодные океанические воды | Statement: [Матуа, окружёнЧем, холодные океанические воды]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: окружёнЧем Context triple: [Матуа, окружёнЧем, холодные океанические воды]
-
A.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
B.
surroundedOnThreeSidesBy
Indicates that one entity is positioned so that three of its sides are directly bordered or enclosed by another entity.
-
C.
surroundedCity
Indicates that one city is encircled or completely enclosed by another city or its surrounding territory.
-
D.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
E.
circumscribedBy
Indicates that one entity is completely enclosed or bounded on all sides by 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3af45ec8190a32aa4e5f04f6756 |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:32 p.m.