Triple
T2263601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supermarine S.6 |
E50092
|
entity |
| Predicate | airframeLayout |
P25338
|
FINISHED |
| Object | all-metal monocoque fuselage |
—
|
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: all-metal monocoque fuselage | Statement: [Supermarine S.6, airframeLayout, all-metal monocoque fuselage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airframeLayout Context triple: [Supermarine S.6, airframeLayout, all-metal monocoque fuselage]
-
A.
airframe
Indicates that an entity is the structural framework or body of an aircraft associated with another entity (such as a specific model, component, or system).
-
B.
airframeConstruction
chosen
Indicates the method or structural approach used to build an aircraft’s main body and supporting framework.
-
C.
airframeDerivedFrom
Indicates that one airframe design is derived or developed from another pre-existing airframe design.
-
D.
isPartOfAirportLayout
Indicates that something is a component or element within the overall physical or functional layout of an airport.
-
E.
aircraftConfiguration
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.