Triple
T37941969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Тимирязевская |
E946510
|
entity |
| Predicate | категория глубины |
P43524
|
FINISHED |
| Object | одна из самых глубоких станций Московского метро |
—
|
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: одна из самых глубоких станций Московского метро | Statement: [Тимирязевская, категория глубины, одна из самых глубоких станций Московского метро]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: категория глубины Context triple: [Тимирязевская, категория глубины, одна из самых глубоких станций Московского метро]
-
A.
depth
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
B.
hasWaterDepthCategory
Indicates the classification of something based on the range or category of its water depth.
-
C.
depthClass
chosen
Indicates the categorical classification of an entity based on its depth or depth-related range.
-
D.
navigationalDepth
Indicates the depth of water available or required for safe navigation along a particular route or at a specific location.
-
E.
dimensionCategory
Indicates that one entity classifies or groups another entity according to a particular dimension or measurement category.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.