Triple
T22061900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JWICS |
E545173
|
entity |
| Predicate | supportsClassificationLevel |
P66321
|
FINISHED |
| Object | Top Secret |
—
|
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: Top Secret | Statement: [JWICS, supportsClassificationLevel, Top Secret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsClassificationLevel Context triple: [JWICS, supportsClassificationLevel, Top Secret]
-
A.
supportsClassificationUpTo
chosen
Indicates that one entity provides assistance, resources, or functionality enabling another entity to perform classification tasks up to a specified level, scope, or complexity.
-
B.
classificationLevel
Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
-
C.
usesClassificationCriteria
Indicates that one entity applies specific classification criteria to categorize, organize, or evaluate another entity.
-
D.
securityClassification
Indicates the level or category of security sensitivity or access restriction assigned to an entity.
-
E.
recognizesLevel
Indicates that one entity acknowledges, identifies, or is aware of the degree, rank, or intensity associated with another entity.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285d5e508190b3124a70fe55b32e |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.