Triple
T16308387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Володарский мост |
E395979
|
entity |
| Predicate | имеет значение |
P428
|
FINISHED |
| Object | городская магистраль |
—
|
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: городская магистраль | Statement: [Володарский мост, имеет значение, городская магистраль]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеет значение Context triple: [Володарский мост, имеет значение, городская магистраль]
-
A.
имеетМеждународноеЗначениеКак
Indicates that something holds international significance or importance in the capacity or role specified by the related entity.
-
B.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
C.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
D.
significance
chosen
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
isValuedFor
Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to 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_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.