Triple
T36345533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дворцовая набережная |
E895052
|
entity |
| Predicate | относитсяКПериодуЗастройки |
P97000
|
FINISHED |
| Object | XVIII век |
—
|
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: XVIII век | Statement: [Дворцовая набережная, относитсяКПериодуЗастройки, XVIII век]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: относитсяКПериодуЗастройки Context triple: [Дворцовая набережная, относитсяКПериодуЗастройки, XVIII век]
-
A.
associatedBuildingDate
Indicates the date on which a particular building is formally linked or related to another entity or record.
-
B.
appliesToBuildingConstructedIn
Indicates that something (such as a rule, requirement, or condition) is applicable specifically to buildings that were constructed in a particular time period or year.
-
C.
predecessorBuildingDate
Indicates that one building’s construction date precedes that of another building in a temporal sequence.
-
D.
originallyErectedIn
Indicates that something was first constructed or put up in a specific place or location.
-
E.
urbanPlanningPeriod
chosen
Indicates the specific span of time during which urban planning activities, policies, or projects are designed, implemented, or in effect.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.