Triple
T35780904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The College |
E1034433
|
entity |
| Predicate | refersToInstitutionRole |
P116100
|
FINISHED |
| Object | training officers for the Canadian Armed Forces |
—
|
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: training officers for the Canadian Armed Forces | Statement: [The College, refersToInstitutionRole, training officers for the Canadian Armed Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToInstitutionRole Context triple: [The College, refersToInstitutionRole, training officers for the Canadian Armed Forces]
-
A.
roleInInstitutions
Indicates that an entity holds or has held a specific role, position, or function within one or more institutions.
-
B.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
C.
primaryRoleWithinInstitution
Indicates the main function, position, or responsibility an entity holds within a specific institution.
-
D.
institutionRole
chosen
Indicates a relationship where an entity holds or is assigned a specific role or position within an institution.
-
E.
representsInInstitution
Indicates that an entity serves as an official representative of another entity within a specified institution or organizational context.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: May 3, 2026, 4:06 p.m.