Triple
T24808727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenton, Ontario |
E620723
|
entity |
| Predicate | hasPrimaryMilitaryFunction |
P5004
|
FINISHED |
| Object | air transport hub for Royal Canadian Air 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: air transport hub for Royal Canadian Air Force | Statement: [Trenton, Ontario, hasPrimaryMilitaryFunction, air transport hub for Royal Canadian Air Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryMilitaryFunction Context triple: [Trenton, Ontario, hasPrimaryMilitaryFunction, air transport hub for Royal Canadian Air Force]
-
A.
militaryFunction
chosen
Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
-
B.
hasMilitaryType
Indicates that an entity is associated with or classified under a specific military category, role, or type.
-
C.
eraOfPrimaryMilitaryUse
Indicates the historical time period during which the subject was primarily used for military purposes.
-
D.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
E.
hasMilitarySpeciality
Indicates that an entity possesses a specific military role, skill set, or area of professional expertise within the armed forces.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 18, 2026, 4:50 a.m.