Triple
T17425933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berezhany Raion |
E423736
|
entity |
| Predicate | borderedByAdministrativeUnit |
P120977
|
FINISHED |
| Object | neighboring raions of Ternopil Oblast |
—
|
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: neighboring raions of Ternopil Oblast | Statement: [Berezhany Raion, borderedByAdministrativeUnit, neighboring raions of Ternopil Oblast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderedByAdministrativeUnit Context triple: [Berezhany Raion, borderedByAdministrativeUnit, neighboring raions of Ternopil Oblast]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
borderingAdministrativeTerritorialEntity
chosen
Indicates that one administrative territorial entity shares a common boundary with another administrative territorial entity.
-
C.
borderingUnitType
Indicates that one unit is adjacent to another unit of a specified type along a shared boundary.
-
D.
hasBorderWithNonSovereignEntity
Indicates that one entity shares a land or maritime border with a political or territorial unit that is not fully sovereign.
-
E.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fbfda88190be1c001d64289bf7 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.