Triple
T20465487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Wing (Dubai Police) |
E502036
|
entity |
| Predicate | typeOfLawEnforcementSupport |
P109126
|
FINISHED |
| Object | airborne command and control |
—
|
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: airborne command and control | Statement: [Air Wing (Dubai Police), typeOfLawEnforcementSupport, airborne command and control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLawEnforcementSupport Context triple: [Air Wing (Dubai Police), typeOfLawEnforcementSupport, airborne command and control]
-
A.
typeOfLawEnforcement
Indicates that one entity is a specific kind or category of law enforcement associated with another entity.
-
B.
supportsLawEnforcementAgency
chosen
Indicates that one entity provides assistance, resources, or backing to a law enforcement agency in carrying out its duties or operations.
-
C.
branchOfLawEnforcementProcess
Indicates that one process is a sub-process, division, or specialized branch within a broader law enforcement process.
-
D.
lawEnforcementFunction
Indicates that an entity performs, is responsible for, or is associated with official law enforcement duties or activities.
-
E.
lawEnforcementContext
Indicates that the relationship or action occurs within, is shaped by, or is relevant to a law enforcement setting, process, or activity.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696aa0794819082c9989b1f7e9f37 |
completed | April 20, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.