Triple
T28283332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartel of the Suns |
E713211
|
entity |
| Predicate | allegedProtection |
P957
|
FINISHED |
| Object | corrupt elements of Venezuelan state institutions |
—
|
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: corrupt elements of Venezuelan state institutions | Statement: [Cartel of the Suns, allegedProtection, corrupt elements of Venezuelan state institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedProtection Context triple: [Cartel of the Suns, allegedProtection, corrupt elements of Venezuelan state institutions]
-
A.
allegedUse
Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
-
B.
protectedBy
chosen
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
evidenceOfProtection
Indicates that something serves as proof or indication that protection or safeguarding is present or has occurred.
-
D.
providesProtectionAgainst
Indicates that one entity serves to guard, shield, or defend another entity from a specified harm, threat, or adverse effect.
-
E.
providesProtectionIn
Indicates that one entity offers protection or safeguarding to another entity within a specified context, location, or situation.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 11:24 p.m.