Triple
T8918777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Ukraine |
E212357
|
entity |
| Predicate | structuralChallenge |
P74802
|
FINISHED |
| Object | geopolitical tensions with Russia |
—
|
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: geopolitical tensions with Russia | Statement: [Economy of Ukraine, structuralChallenge, geopolitical tensions with Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralChallenge Context triple: [Economy of Ukraine, structuralChallenge, geopolitical tensions with Russia]
-
A.
constructionChallenges
Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
-
B.
designChallenge
Indicates a situation in which an entity is tasked with creating, improving, or solving something through a structured design problem or assignment.
-
C.
structuralIssues
chosen
Indicates that there are problems or deficiencies in the design, construction, or integrity of a structure or system.
-
D.
structuralAmbition
Indicates an entity’s intention or effort to change, shape, or influence an existing structure, system, or organizational framework.
-
E.
reconstructionChallenge
Indicates a situation where accurately rebuilding or restoring something from incomplete, damaged, or complex information is difficult or problematic.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.