Triple
T14863881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Lucia Forces |
E349567
|
entity |
| Predicate | typeOfSecurityActor |
P50944
|
FINISHED |
| Object | state security force |
—
|
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: state security force | Statement: [Saint Lucia Forces, typeOfSecurityActor, state security force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSecurityActor Context triple: [Saint Lucia Forces, typeOfSecurityActor, state security force]
-
A.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
B.
typeOfIdentity
Indicates the specific category or nature of identity that characterizes or defines an entity within a given context.
-
C.
securityRole
Indicates that an entity holds a specific security-related role, permission level, or access profile within a system or context.
-
D.
governanceActor
Indicates that an entity plays a role in governing, managing, or overseeing another entity, process, or domain.
-
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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.