Triple
T7032576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IA-32 |
E163304
|
entity |
| Predicate | privilegeLevels |
P69042
|
FINISHED |
| Object | 4 rings |
—
|
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: 4 rings | Statement: [IA-32, privilegeLevels, 4 rings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: privilegeLevels Context triple: [IA-32, privilegeLevels, 4 rings]
-
A.
holderPrivileges
Indicates that one entity possesses specific rights, permissions, or advantages granted to the holder of another entity.
-
B.
authorizationLevel
chosen
Indicates the degree or tier of access rights or permissions granted to an entity within a system or context.
-
C.
entailsPrivileges
Indicates that one entity’s status, action, or condition grants or carries with it specific rights, powers, or privileges for another entity or itself.
-
D.
hasRankLevels
Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading system.
-
E.
protectionLevel
Indicates the degree or extent to which something is safeguarded against harm, risk, or unauthorized access.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.