Triple
T7824061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union Police Mission in Afghanistan |
E181200
|
entity |
| Predicate | securitySectorComponent |
P50944
|
FINISHED |
| Object | police |
—
|
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: police | Statement: [European Union Police Mission in Afghanistan, securitySectorComponent, police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securitySectorComponent Context triple: [European Union Police Mission in Afghanistan, securitySectorComponent, police]
-
A.
securityAspect
Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
-
B.
securityProgram
Indicates that an entity is associated with, participates in, or is governed by a security program, such as a set of policies, controls, or initiatives related to safety or protection.
-
C.
sectorProtected
Indicates that a particular sector or area is safeguarded from harm, access, or exploitation by some form of protection or regulation.
-
D.
securityEnvironment
Indicates the overall conditions, threats, and protective measures that characterize the safety and risk context in which an entity operates.
-
E.
securityApparatusRole
chosen
Indicates the role or function an entity holds within a security or law-enforcement apparatus.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0abff08190b0245ceca5f20cae |
completed | March 30, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:42 p.m.