Triple
T19332639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Air Force (RM12 variant) |
E483533
|
entity |
| Predicate | usedOnPlatformType |
P135454
|
FINISHED |
| Object | single‑engine light fighter |
—
|
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: single‑engine light fighter | Statement: [Swedish Air Force (RM12 variant), usedOnPlatformType, single‑engine light fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnPlatformType Context triple: [Swedish Air Force (RM12 variant), usedOnPlatformType, single‑engine light fighter]
-
A.
usedByPlatform
Indicates that something (such as a tool, component, or resource) is utilized or employed by a particular platform.
-
B.
worksOnPlatform
Indicates that an entity performs its functions, operations, or activities using or within a specified platform.
-
C.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
D.
platformTypeWorkedOn
Indicates the type of platform on which an entity (typically a person or system) has performed work or carried out activities.
-
E.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.