Triple
T3251159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Air Force Air Cadets |
E68180
|
entity |
| Predicate | hasCadetType |
P46851
|
FINISHED |
| Object | Air Training Corps cadet |
—
|
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 Training Corps cadet | Statement: [Royal Air Force Air Cadets, hasCadetType, Air Training Corps cadet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCadetType Context triple: [Royal Air Force Air Cadets, hasCadetType, Air Training Corps cadet]
-
A.
hasCadetRank
Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
-
B.
hasCadetBranch
Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
-
C.
hasCorpsOfCadets
Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
-
D.
hasPilotType
Indicates that an entity has or is associated with a specific type or category of pilot.
-
E.
hasTrainingType
Indicates that an entity is associated with or characterized by a specific type or category of training.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf425394819084ae6304da211c00 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.