Triple
T14025595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MiG-29K |
E337447
|
entity |
| Predicate | airframeFeatures |
P84525
|
FINISHED |
| Object | corrosion protection for maritime environment |
—
|
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: corrosion protection for maritime environment | Statement: [MiG-29K, airframeFeatures, corrosion protection for maritime environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airframeFeatures Context triple: [MiG-29K, airframeFeatures, corrosion protection for maritime environment]
-
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.
airframeDerivedFrom
Indicates that one airframe design is derived or developed from another pre-existing airframe design.
-
C.
airframeConstruction
Indicates the method or structural approach used to build an aircraft’s main body and supporting framework.
-
D.
aircraftDesignFeature
chosen
Indicates a relationship where a specific design feature is associated with, or incorporated into, an aircraft.
-
E.
airframeCommonalityWith
Indicates that two aircraft share the same or highly similar structural design and components in their airframes.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.