Triple
T14430210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Арбатско-Покровская линия |
E357804
|
entity |
| Predicate | имеетПодвижнойСостав |
P5426
|
FINISHED |
| Object | вагоны типов 81-740/741 "Русич" |
—
|
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: вагоны типов 81-740/741 "Русич" | Statement: [Арбатско-Покровская линия, имеетПодвижнойСостав, вагоны типов 81-740/741 "Русич"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетПодвижнойСостав Context triple: [Арбатско-Покровская линия, имеетПодвижнойСостав, вагоны типов 81-740/741 "Русич"]
-
A.
railwayCarriageUsedFor
Indicates that a railway carriage is employed or designated for a particular purpose, function, or type of use.
-
B.
formerRollingStock
Indicates that an entity was previously used as rolling stock (e.g., railway vehicles) but no longer serves in that capacity.
-
C.
laterRollingStock
Indicates that one piece of rolling stock comes into use or service at a later time than another piece of rolling stock.
-
D.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
-
E.
usesRollingStock
chosen
Indicates that one entity employs or operates specific rolling stock (such as rail vehicles) in its activities or services.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.