Triple
T18142585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Army Training Support Unit Belize |
E434298
|
entity |
| Predicate | typeOfTrainingArea |
P50226
|
FINISHED |
| Object | overseas training area |
—
|
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: overseas training area | Statement: [British Army Training Support Unit Belize, typeOfTrainingArea, overseas training area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTrainingArea Context triple: [British Army Training Support Unit Belize, typeOfTrainingArea, overseas training area]
-
A.
trainingLocationType
chosen
Indicates the type or category of place where a training activity occurs.
-
B.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
-
C.
providesTrainingFor
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
D.
trainingGroundFor
Indicates that one entity serves as a place or context where another entity is trained, prepared, or developed.
-
E.
hasPlayAreaType
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0c8aa88190b4ded7e6d05f6edf |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.