Triple
T26870394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PARNAS party |
E676594
|
entity |
| Predicate | stanceOnCivilSociety |
P9470
|
FINISHED |
| Object | support for NGOs |
—
|
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: support for NGOs | Statement: [PARNAS party, stanceOnCivilSociety, support for NGOs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stanceOnCivilSociety Context triple: [PARNAS party, stanceOnCivilSociety, support for NGOs]
-
A.
civilSocietySupportedBy
Indicates that a civil society organization receives backing, assistance, or resources from a specified supporter or source.
-
B.
hasViewOnSociety
chosen
Indicates that an entity holds a particular perspective, opinion, or stance regarding society or social structures.
-
C.
societalOrganization
Indicates how a society is structured and organized in terms of its institutions, roles, and social relationships.
-
D.
societalControl
Indicates the exertion of authority or influence by a society or its institutions to regulate, direct, or constrain the behavior and actions of individuals or groups.
-
E.
stanceTowardGovernment
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 5:32 a.m.