Triple
T17265724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Обь |
E419121
|
entity |
| Predicate | типБассейна |
P3557
|
FINISHED |
| Object | арктический океанический бассейн |
—
|
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: арктический океанический бассейн | Statement: [Обь, типБассейна, арктический океанический бассейн]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типБассейна Context triple: [Обь, типБассейна, арктический океанический бассейн]
-
A.
basinType
chosen
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
B.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
C.
bayType
Indicates the specific kind or classification of a bay associated with an entity.
-
D.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
-
E.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f44ec7c81909a925fc8692b0a6c |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.