Triple
T16308382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Володарский мост |
E395979
|
entity |
| Predicate | открыт для движения |
P16836
|
FINISHED |
| Object | автомобильный транспорт |
—
|
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: автомобильный транспорт | Statement: [Володарский мост, открыт для движения, автомобильный транспорт]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: открыт для движения Context triple: [Володарский мост, открыт для движения, автомобильный транспорт]
-
A.
openedForThroughTraffic
Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
-
B.
reopenedToTraffic
Indicates that a previously closed route or transportation facility has been opened again for use by traffic.
-
C.
openedToRoadTraffic
chosen
Indicates that something, such as a structure or route, has begun allowing regular use by vehicles or road users.
-
D.
openedToPassengerTraffic
Indicates that a transportation facility or route began operating and accepting passengers for regular use.
-
E.
openedToRailTraffic
Indicates that a rail line, track, or related infrastructure has begun operating and is officially available for use by train traffic.
- 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.