Triple
T38377833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовый мост |
E893673
|
entity |
| Predicate | имеетТипКонструкции |
P156304
|
FINISHED |
| Object | балочный мост |
—
|
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: балочный мост | Statement: [Дворцовый мост, имеетТипКонструкции, балочный мост]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетТипКонструкции Context triple: [Дворцовый мост, имеетТипКонструкции, балочный мост]
-
A.
типСтроения
Indicates the specific kind or category of building or structure associated with an entity.
-
B.
designedStructureType
Indicates the type or category of structure that something has been specifically designed to be.
-
C.
isEngineeringStructureOfType
chosen
Indicates that an engineering structure belongs to or is classified under a specified structural type.
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
superstructureType
Indicates the specific kind or design category of a structure’s superstructure that an entity possesses or is associated with.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:31 p.m.