Triple
T17750029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAU-22/A |
E443087
|
entity |
| Predicate | designedForIntegration |
P110757
|
FINISHED |
| Object | stealth-compatible installation |
—
|
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: stealth-compatible installation | Statement: [GAU-22/A, designedForIntegration, stealth-compatible installation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForIntegration Context triple: [GAU-22/A, designedForIntegration, stealth-compatible installation]
-
A.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
B.
designedToInterfaceWith
chosen
Indicates that one entity has been intentionally created or configured to connect, interact, or work compatibly with another entity.
-
C.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
D.
designedWith
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
-
E.
designedForUrbanIntegration
Indicates that something is intentionally created or adapted to fit harmoniously within an urban environment and its infrastructure.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.