Triple
T16308388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Володарский мост |
E395979
|
entity |
| Predicate | часть транспортной сети |
P36772
|
FINISHED |
| Object | дорожная сеть Санкт-Петербурга |
—
|
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: дорожная сеть Санкт-Петербурга | Statement: [Володарский мост, часть транспортной сети, дорожная сеть Санкт-Петербурга]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: часть транспортной сети Context triple: [Володарский мост, часть транспортной сети, дорожная сеть Санкт-Петербурга]
-
A.
transportNetworkPartOf
Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
-
B.
roadNetworkPartOf
chosen
Indicates that one road network segment or component is a constituent part of a larger road network.
-
C.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
D.
typeOfTransportInfrastructure
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
-
E.
isTransportationInfrastructure
Indicates that something functions as a physical facility or system designed to support the movement of people or goods, such as roads, railways, ports, or airports.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288d776808190a7c9918477f07216 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.