Triple
T7252830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosquito NF Mk II |
E157644
|
entity |
| Predicate | constructionFeature |
P23657
|
FINISHED |
| Object | extensive use of wood to save strategic metals |
—
|
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: extensive use of wood to save strategic metals | Statement: [Mosquito NF Mk II, constructionFeature, extensive use of wood to save strategic metals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionFeature Context triple: [Mosquito NF Mk II, constructionFeature, extensive use of wood to save strategic metals]
-
A.
constructionCharacteristic
chosen
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
B.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
C.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
D.
featuresBuilding
Indicates that one entity includes or incorporates a building as a notable component or characteristic.
-
E.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9d41908190bb76c6a5b9d5b1a2 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.