Triple
T10517936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCANDINAVIAN |
E248082
|
entity |
| Predicate | usedInCommercialAviation |
P94346
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [SCANDINAVIAN, usedInCommercialAviation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCommercialAviation Context triple: [SCANDINAVIAN, usedInCommercialAviation, yes]
-
A.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
B.
usedInAviationAs
Indicates that something serves a particular role, function, or application within the field of aviation.
-
C.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
D.
isEarlyCommercialAircraftOf
Indicates that one entity is an early commercial aircraft model associated with, or belonging to the early commercial aviation phase of, another entity (such as an airline, manufacturer, or time period).
-
E.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
- F. None of above. chosen
Provenance (4 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cd0fb8819087de2f9a93bad6e6 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:28 p.m.