Triple
T11913038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Russian presidential election |
E283440
|
entity |
| Predicate | OSCEAssessment |
P45603
|
FINISHED |
| Object | election was skewed in favor of Vladimir Putin |
—
|
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: election was skewed in favor of Vladimir Putin | Statement: [2012 Russian presidential election, OSCEAssessment, election was skewed in favor of Vladimir Putin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OSCEAssessment Context triple: [2012 Russian presidential election, OSCEAssessment, election was skewed in favor of Vladimir Putin]
-
A.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
B.
assessment
chosen
Indicates an evaluation or judgment made about an entity’s quality, performance, or characteristics.
-
C.
assessedBy
Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
-
D.
assessmentBasis
Indicates the underlying criteria, evidence, or method used as the foundation for making an assessment or evaluation between entities.
-
E.
operationalAssessment
Indicates an evaluation of how effectively and efficiently an entity, system, or process is functioning in practice.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.