Triple
T24884158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Клязьма |
E622801
|
entity |
| Predicate | расположена в части страны |
P157438
|
FINISHED |
| Object | Центральная Россия |
—
|
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: Центральная Россия | Statement: [Клязьма, расположена в части страны, Центральная Россия]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: расположена в части страны Context triple: [Клязьма, расположена в части страны, Центральная Россия]
-
A.
находитсяВСтране
Indicates that something is located within the territory or borders of a specific country.
-
B.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
C.
partlyLocatedOn
Indicates that one entity is situated such that only a portion of it lies on or within the spatial extent of another entity.
-
D.
locatedInEasternPartOf
Indicates that one entity is situated within the eastern portion or region of another entity.
-
E.
locatedInNorthernOrSouthernPartOfRegion
Indicates that an entity is situated in either the northern or southern part of a specified region.
- F. None of above. chosen
Provenance (4 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:25 a.m.