Triple
T31675174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Хорошёвская |
E808379
|
entity |
| Predicate | цветЛинииНаСхеме |
P34403
|
FINISHED |
| Object | бирюзовый (Большая кольцевая линия) |
—
|
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: бирюзовый (Большая кольцевая линия) | Statement: [Хорошёвская, цветЛинииНаСхеме, бирюзовый (Большая кольцевая линия)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: цветЛинииНаСхеме Context triple: [Хорошёвская, цветЛинииНаСхеме, бирюзовый (Большая кольцевая линия)]
-
A.
networkColorOfLine
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
B.
spectralLineColor
Indicates the color associated with a specific spectral line observed in an emission or absorption spectrum.
-
C.
mapColorLine
chosen
Indicates a relationship where a specific color is assigned to or associated with a particular line (such as a route, path, or boundary) on a map.
-
D.
servedByLineColor
Indicates that a transit service or route is operated using vehicles or infrastructure associated with a specific line color.
-
E.
mapColorLines
Indicates a relationship where colors are assigned or associated with specific lines, such as mapping each line to a particular color.
- 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_69f348dcf5d48190ac25b1365ae717a8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:02 p.m.