Triple
T9294791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Armed Forces (Gendarmerie and Coast Guard) |
E223611
|
entity |
| Predicate | borderSecurityRole |
P85324
|
FINISHED |
| Object | prevents illegal crossings |
—
|
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: prevents illegal crossings | Statement: [Turkish Armed Forces (Gendarmerie and Coast Guard), borderSecurityRole, prevents illegal crossings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSecurityRole Context triple: [Turkish Armed Forces (Gendarmerie and Coast Guard), borderSecurityRole, prevents illegal crossings]
-
A.
borderRegionRole
Indicates a role or function that an entity has specifically in relation to a border region or border area.
-
B.
hasBorderControlRole
chosen
Indicates that an entity holds a role or responsibility related to managing, enforcing, or overseeing border control activities.
-
C.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
-
D.
borderControls
Indicates that one entity enforces or administers border control measures over another entity or at a specific boundary.
-
E.
borderControlSide
Indicates that one entity is positioned on or associated with a particular side or segment of a border control area or checkpoint.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd089a2ed0819086b2e4219ff2453e |
completed | April 1, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.