Triple
T31969220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuneo International Airport |
E816261
|
entity |
| Predicate | runway03/21Usage |
P135045
|
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: [Cuneo International Airport, runway03/21Usage, civil aviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runway03/21Usage Context triple: [Cuneo International Airport, runway03/21Usage, civil aviation]
-
A.
runway03_21Use
chosen
Indicates use or operational status of runway 03/21 for aircraft movements or related airport activities.
-
B.
runway13_31Usage
Indicates how runway 13/31 is used, such as the type, frequency, or conditions of its operational usage.
-
C.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
D.
runway17_35Use
Indicates use or operational activity occurring on runway 17/35.
-
E.
runwayUsedAs
Indicates that a particular runway is being utilized for a specific purpose, role, or operational function.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: May 1, 2026, 12:10 a.m.