Triple
T13576318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junkers F 13 |
E324293
|
entity |
| Predicate | wingSurfaceFeature |
P19885
|
FINISHED |
| Object | corrugated metal skin |
—
|
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: corrugated metal skin | Statement: [Junkers F 13, wingSurfaceFeature, corrugated metal skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingSurfaceFeature Context triple: [Junkers F 13, wingSurfaceFeature, corrugated metal skin]
-
A.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
B.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
C.
aerodynamicsFeature
chosen
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
-
D.
wingFunction
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
-
E.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.