Triple
T17254136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auckland Airport |
E418834
|
entity |
| Predicate | runway05L/23RUsage |
P77854
|
FINISHED |
| Object | secondary and domestic runway |
—
|
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: secondary and domestic runway | Statement: [Auckland Airport, runway05L/23RUsage, secondary and domestic runway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runway05L/23RUsage Context triple: [Auckland Airport, runway05L/23RUsage, secondary and domestic runway]
-
A.
runwayUsage
chosen
Indicates that a particular runway is being used or assigned for aircraft operations such as takeoffs or landings.
-
B.
runwaysUsableAt
Indicates that certain runways at a location are available and suitable for use (e.g., for takeoff or landing) at a given time or under specified conditions.
-
C.
runwayInformationAvailableIn
Indicates that information about a runway is available within or through a specified medium, source, or context.
-
D.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
E.
runwayPerformance
Indicates the performance characteristics or behavior of an entity (such as an aircraft or vehicle) when operating on a runway, including factors like acceleration, deceleration, and required distances.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6b2b1c8190b446ce648ecaad80 |
completed | April 19, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e3832a284481908a8a3da7ac91de5a |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.