Triple
T15866560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 22nd Helicopter Air Force Base Náměšť nad Oslavou |
E384726
|
entity |
| Predicate | hasTrainingAreaFor |
P34345
|
FINISHED |
| Object | helicopter pilots |
—
|
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: helicopter pilots | Statement: [22nd Helicopter Air Force Base Náměšť nad Oslavou, hasTrainingAreaFor, helicopter pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrainingAreaFor Context triple: [22nd Helicopter Air Force Base Náměšť nad Oslavou, hasTrainingAreaFor, helicopter pilots]
-
A.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
B.
hasFieldTrainingComponent
Indicates that an entity includes or is associated with a component involving practical, in-the-field training activities.
-
C.
hasTrainingComplex
Indicates that an entity possesses or is associated with a dedicated facility or complex used for training activities.
-
D.
hasNearbyMilitaryTrainingArea
chosen
Indicates that an entity is located close to a designated area used for military training activities.
-
E.
hasTrainingRole
Indicates that an entity holds or is assigned a specific role within a training or instructional 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.