Triple
T13044278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close Protection Unit |
E327276
|
entity |
| Predicate | serviceBranchSpeciality |
P466
|
FINISHED |
| Object | military police close protection |
—
|
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: military police close protection | Statement: [Close Protection Unit, serviceBranchSpeciality, military police close protection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBranchSpeciality Context triple: [Close Protection Unit, serviceBranchSpeciality, military police close protection]
-
A.
hasSpecialty
chosen
Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
-
B.
serviceBranchSpecific
Indicates that something is restricted or tailored to a particular branch of service rather than being common across all branches.
-
C.
serviceBranch
Indicates the military or organizational branch in which an entity serves or is affiliated.
-
D.
institutionSpecialization
Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
-
E.
openingSpecialty
Indicates the specific area of focus, expertise, or type associated with an opening (such as a job, position, or opportunity).
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:56 p.m.