Triple
T26870389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PARNAS party |
E676594
|
entity |
| Predicate | stanceOnCorruption |
P163894
|
FINISHED |
| Object | investigation of high-level corruption |
—
|
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: investigation of high-level corruption | Statement: [PARNAS party, stanceOnCorruption, investigation of high-level corruption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnCorruption Context triple: [PARNAS party, stanceOnCorruption, investigation of high-level corruption]
-
A.
corruptionLevel
Indicates the degree or extent to which unethical, illegal, or dishonest practices are present or influential in a given context.
-
B.
stanceOnAuthority
Indicates an entity’s attitude, position, or level of support or opposition toward authority or authoritative control.
-
C.
stanceOnMedia
Indicates a subject’s expressed attitude, opinion, or position toward a particular media outlet, medium, or piece of media.
-
D.
hasCorruptOfficials
Indicates that an entity possesses or is associated with officials who engage in corrupt or unethical behavior.
-
E.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
- F. None of above. chosen
Provenance (4 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 5:32 a.m.