Triple
T32918695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ida-Viru County |
E842085
|
entity |
| Predicate | borderTypeToRussia |
P125856
|
FINISHED |
| Object | international border |
—
|
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: international border | Statement: [Ida-Viru County, borderTypeToRussia, international border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeToRussia Context triple: [Ida-Viru County, borderTypeToRussia, international border]
-
A.
borderTypeWithRussia
chosen
Indicates the type or nature of a geographic border that an entity shares with Russia.
-
B.
borderSideTownRussia
Indicates that a town is located on or along the side of a border that is shared with Russia.
-
C.
borderTypeWithUkraine
Indicates the type or nature of a geographic or political border that an entity shares with Ukraine.
-
D.
borderTypeWithMongolia
Indicates the specific nature or classification of the border that an entity shares with Mongolia.
-
E.
borderTypeWithChina
Indicates the type or nature of the border relationship an entity has with China.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: May 1, 2026, 1:19 a.m.