Triple
T22847826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PARAGUAYA |
E566269
|
entity |
| Predicate | usedInAviationDomain |
P7940
|
FINISHED |
| Object | civil aviation |
—
|
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: civil aviation | Statement: [PARAGUAYA, usedInAviationDomain, civil aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInAviationDomain Context triple: [PARAGUAYA, usedInAviationDomain, civil aviation]
-
A.
usedInAviation
chosen
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.
usedInAviationCommunication
Indicates that something (such as a term, signal, or technology) is employed within the context of aviation-related communication.
-
D.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
E.
usedInAviationNavigation
Indicates that something is employed as a tool, method, or system for aiding navigation in aviation contexts.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.