Triple
T37901418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center for Combating Extremism |
E945422
|
entity |
| Predicate | usesLegalConcept |
P10240
|
FINISHED |
| Object | extremism (as defined in Russian law) |
—
|
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: extremism (as defined in Russian law) | Statement: [Center for Combating Extremism, usesLegalConcept, extremism (as defined in Russian law)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLegalConcept Context triple: [Center for Combating Extremism, usesLegalConcept, extremism (as defined in Russian law)]
-
A.
usesLegalCode
Indicates that one entity applies, references, or operates under a particular legal code in its actions or regulations.
-
B.
legalConcept
chosen
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
C.
usesLawTo
Indicates that one entity applies or relies on a specific law as a means or tool to affect, regulate, or influence another entity or situation.
-
D.
legalIn
Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
-
E.
usesLegalMethod
Indicates that an action or process is carried out using methods that comply with applicable laws and legal standards.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.