Triple
T10517931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCANDINAVIAN |
E248082
|
entity |
| Predicate | usedInAirTrafficControlCommunication |
P84588
|
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, usedInAirTrafficControlCommunication, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAirTrafficControlCommunication Context triple: [SCANDINAVIAN, usedInAirTrafficControlCommunication, yes]
-
A.
usedInAirTrafficControlFor
chosen
Indicates that something serves as a tool, system, or resource specifically employed in the management, monitoring, or regulation of air traffic.
-
B.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
C.
usedInAviationCodeContext
Indicates that something is employed or referenced within the context of aviation-related codes or coding systems.
-
D.
usedInAviationNavigation
Indicates that something is employed as a tool, method, or system for aiding navigation in aviation contexts.
-
E.
affectsAirTraffic
Indicates that one entity causes changes or disruptions to the normal flow, safety, or management of air traffic.
- 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_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. |
Created at: April 6, 2026, 12:28 p.m.