Triple
T14385648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kast |
E356714
|
entity |
| Predicate | hasPoliticalStanceOnSecurity |
P4795
|
FINISHED |
| Object | expansion of police powers |
—
|
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: expansion of police powers | Statement: [Kast, hasPoliticalStanceOnSecurity, expansion of police powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalStanceOnSecurity Context triple: [Kast, hasPoliticalStanceOnSecurity, expansion of police powers]
-
A.
hasMilitarySecurity
Indicates that an entity provides, maintains, or is responsible for military protection or defense for another entity or area.
-
B.
hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
-
C.
policyStance
chosen
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
D.
relatedSecurity
Indicates that one security has a defined relationship or association with another security, such as dependency, linkage, or relevance.
-
E.
hasSecurityNotion
Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.