Triple
T3379808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia – Measures Concerning Traffic in Transit (DS512) |
E71153
|
entity |
| Predicate | relatedContext |
P2919
|
FINISHED |
| Object | deterioration of relations between Russia and Ukraine after 2014 |
—
|
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: deterioration of relations between Russia and Ukraine after 2014 | Statement: [Russia – Measures Concerning Traffic in Transit (DS512), relatedContext, deterioration of relations between Russia and Ukraine after 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedContext Context triple: [Russia – Measures Concerning Traffic in Transit (DS512), relatedContext, deterioration of relations between Russia and Ukraine after 2014]
-
A.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
context
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
E.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2ec38d88190be8c824daeca5ab6 |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.