Triple
T348314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supermarine |
E6987
|
entity |
| Predicate | aircraftConstruction |
P3541
|
FINISHED |
| Object | all-metal stressed-skin construction |
—
|
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 stressed-skin construction | Statement: [Supermarine, aircraftConstruction, all-metal stressed-skin construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftConstruction Context triple: [Supermarine, aircraftConstruction, all-metal stressed-skin construction]
-
A.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
B.
aircraftModification
Indicates a relationship where an aircraft undergoes a change, upgrade, or alteration to its structure, systems, or configuration.
-
C.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
D.
launchedAircraftIn
Indicates that an entity initiated the takeoff or deployment of an aircraft within a specified location or context.
-
E.
aircraftConfiguration
chosen
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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1c1c908190b3a01de893207ed1 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e955d1f88190bd687c46fa7c5469 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.