Triple
T31999593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rata |
E817086
|
entity |
| Predicate | associatedWithWingType |
P7143
|
FINISHED |
| Object | cantilever low-wing |
—
|
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: cantilever low-wing | Statement: [Rata, associatedWithWingType, cantilever low-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithWingType Context triple: [Rata, associatedWithWingType, cantilever low-wing]
-
A.
hasWingIn
Indicates that an entity possesses a wing that is located in or contained within another specified entity or structure.
-
B.
hasWingOf
Indicates that one entity possesses or is associated with the wing that belongs to another entity.
-
C.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
D.
hasWingRole
Indicates that an entity holds a specific role or position within a wing or sub-unit of a larger organization or structure.
-
E.
hasWingConfiguration
chosen
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:14 a.m.