Triple
T34197540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multi-Terrain Pattern |
E877282
|
entity |
| Predicate | testingEnvironment |
P144932
|
FINISHED |
| Object | United Kingdom training areas |
—
|
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: United Kingdom training areas | Statement: [Multi-Terrain Pattern, testingEnvironment, United Kingdom training areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testingEnvironment Context triple: [Multi-Terrain Pattern, testingEnvironment, United Kingdom training areas]
-
A.
launchEnvironment
Indicates the specific context, configuration, or setting in which a launch or deployment action takes place.
-
B.
testedUnder
chosen
Indicates that one entity is examined, evaluated, or experimented on while being subject to the conditions, environment, or parameters specified by another entity.
-
C.
stageEnvironment
Indicates that an entity is placed into or operates within a non-production (staging) environment used for testing or pre-deployment.
-
D.
testedEngine
Indicates that an engine has undergone a testing process to evaluate its performance, functionality, or reliability.
-
E.
programEnvironment
Indicates the contextual setting, conditions, and resources within which a program operates or is executed.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:55 a.m.