Triple
T456312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communist Party of the Russian Federation |
E7238
|
entity |
| Predicate | programFocus |
P13679
|
FINISHED |
| Object | social justice |
—
|
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: social justice | Statement: [Communist Party of the Russian Federation, programFocus, social justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programFocus Context triple: [Communist Party of the Russian Federation, programFocus, social justice]
-
A.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
B.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
C.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
D.
educationalFocus
Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
-
E.
missionFocus
Indicates that an entity’s primary attention, effort, or resources are directed toward a particular mission, goal, or objective.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef9f772c8190863399c5ee1378fe |
completed | Feb. 28, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69a2ede614b88190be07425f5535f56d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.