Triple
T828452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadet Lance Corporal |
E17908
|
entity |
| Predicate | organizationalRole |
P13957
|
FINISHED |
| Object | first step into cadet leadership |
—
|
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: first step into cadet leadership | Statement: [Cadet Lance Corporal, organizationalRole, first step into cadet leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationalRole Context triple: [Cadet Lance Corporal, organizationalRole, first step into cadet leadership]
-
A.
hasOrganizationalRole
chosen
Indicates that an entity holds a specific role, position, or function within an organization.
-
B.
namedPersonRole
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
C.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
D.
identificationRole
Indicates that an entity serves as an identifier or plays a role in uniquely distinguishing or recognizing another entity.
-
E.
ICAORole
Indicates a role or function that an entity holds within the context of ICAO (International Civil Aviation Organization) activities, structures, or regulations.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab99b1e48190afad1f073348b29a |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.