Triple
T5754686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CANT |
E126935
|
entity |
| Predicate | aircraftConstructionMaterial |
P39784
|
FINISHED |
| Object | mixed wood and metal structures |
—
|
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: mixed wood and metal structures | Statement: [CANT, aircraftConstructionMaterial, mixed wood and metal structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftConstructionMaterial Context triple: [CANT, aircraftConstructionMaterial, mixed wood and metal structures]
-
A.
airframeConstruction
Indicates the method or structural approach used to build an aircraft’s main body and supporting framework.
-
B.
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).
-
C.
airframeDerivedFrom
Indicates that one airframe design is derived or developed from another pre-existing airframe design.
-
D.
fuelTankMaterial
chosen
Indicates the material from which a fuel tank is made.
-
E.
appliedToAircraftBuiltBy
Indicates that something (such as a regulation, modification, or action) is applied specifically to aircraft that were built by a particular manufacturer or builder.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02904dcf481909e4340a64ee1034e |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.