Triple
T23851726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Соборная площадь |
E592186
|
entity |
| Predicate | типЗастройки |
P4631
|
FINISHED |
| Object | историческая городская застройка |
—
|
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: историческая городская застройка | Statement: [Соборная площадь, типЗастройки, историческая городская застройка]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типЗастройки Context triple: [Соборная площадь, типЗастройки, историческая городская застройка]
-
A.
типСтроения
Indicates the specific kind or category of building or structure associated with an entity.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
propertyType_id
Indicates a relationship that specifies the type or category of a property associated with an entity.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
architectureType
chosen
Indicates the specific style or category of architecture that characterizes or defines an 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c987c3208190bf3f210d12106927 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.