Triple
T8848180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Клушино |
E210561
|
entity |
| Predicate | находитсяВЧастиСтраны |
P26347
|
FINISHED |
| Object | западная часть России |
—
|
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: западная часть России | Statement: [Клушино, находитсяВЧастиСтраны, западная часть России]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: находитсяВЧастиСтраны Context triple: [Клушино, находитсяВЧастиСтраны, западная часть России]
-
A.
countryPortionIn
chosen
Indicates that a specific part or region is located within the boundaries of a particular country.
-
B.
partOfCountrySubdivision
Indicates that one geographic or administrative unit is contained within and forms a component part of a larger country subdivision.
-
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.
meetsInCountrySubdivision
Indicates that two or more entities meet or have a meeting within a specific administrative subdivision of a country (such as a state, province, or region).
-
E.
partOfTerritory
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60aa6db0819097c3257499200afc |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:49 p.m.