Triple
T36848637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Army cantonment, Nowshera |
E910617
|
entity |
| Predicate | supportsSecurityIn |
—
|
GENERATED |
| Object | Khyber Pakhtunkhwa region |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSecurityIn Context triple: [Pakistan Army cantonment, Nowshera, supportsSecurityIn, Khyber Pakhtunkhwa region]
-
A.
hasSecuritySupport
chosen
Indicates that one entity provides security-related assistance, maintenance, or protection services for another entity.
-
B.
isSecureFor
Indicates that one entity provides a level of protection or safety that makes it appropriate or safe for use, access, or interaction by another entity.
-
C.
canSecure
Indicates that one entity has the ability or capacity to protect, safeguard, or make another entity safe from harm, loss, or unauthorized access.
-
D.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
-
E.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
- F. None of above.
Provenance (1 batch)
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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:13 p.m.