Triple
T2559641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO–Russia relations |
E57210
|
entity |
| Predicate | trendSince2014 |
P5318
|
FINISHED |
| Object | increasing confrontation |
—
|
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: increasing confrontation | Statement: [NATO–Russia relations, trendSince2014, increasing confrontation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trendSince2014 Context triple: [NATO–Russia relations, trendSince2014, increasing confrontation]
-
A.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
B.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
C.
technologyTrend
Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
-
D.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
-
E.
developedOverPeriod
Indicates that something was created, expanded, or progressed continuously throughout a specified span of time.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.