Triple
T31969541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Магаданка |
E816272
|
entity |
| Predicate | регион расположения |
P64798
|
FINISHED |
| Object | Магаданская область |
—
|
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: Магаданская область | Statement: [Магаданка, регион расположения, Магаданская область]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: регион расположения Context triple: [Магаданка, регион расположения, Магаданская область]
-
A.
placeRegion
chosen
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
-
B.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
C.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
D.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
E.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b307715881908825d891df5304e6 |
completed | May 3, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:10 a.m.