Triple
T34415666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Border Guard |
E883396
|
entity |
| Predicate | GSG 9Role |
P178917
|
FINISHED |
| Object | counter-terrorism |
—
|
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: counter-terrorism | Statement: [Federal Border Guard, GSG 9Role, counter-terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GSG 9Role Context triple: [Federal Border Guard, GSG 9Role, counter-terrorism]
-
A.
oneOfNine
Indicates that the subject is exactly one member of a specific group or set containing nine distinct options.
-
B.
hogonRole
Indicates that an entity holds or is assigned the role or office of a hogon (a specific traditional or religious leadership position).
-
C.
gammaRole
Indicates a tertiary or supporting role that an entity plays within a structured hierarchy of roles or participants in an event or relationship.
-
D.
roleAtGV
Indicates that an entity holds or held a specific role or position at a particular organization, institution, or venue referred to as GV.
-
E.
GORSis
Indicates a sibling relationship where one entity is the sister of another.
- F. None of above. chosen
Provenance (4 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 1:59 a.m.