Triple
T36848637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakistan Army cantonment, Nowshera |
E910617
|
entity |
| Predicate | supportsSecurityIn |
P4967
|
FINISHED |
| Object | Khyber Pakhtunkhwa region |
E9536
|
NE 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: Khyber Pakhtunkhwa region | Statement: [Pakistan Army cantonment, Nowshera, supportsSecurityIn, Khyber Pakhtunkhwa region]
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 (4 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e57489a1c819087894d8730aefa22 |
completed | June 26, 2026, 10:41 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:13 p.m.