Triple
T18930177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCXP |
E463084
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 9/27 |
—
|
NE NERFINISHED |
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: Runway 9/27 | Statement: [KCXP, hasRunway, Runway 9/27]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 9/27 Context triple: [KCXP, hasRunway, Runway 9/27]
-
A.
Runway 9/27
chosen
Runway 9/27 is a primary paved runway at Erie–Ottawa International Airport in Ohio, aligned roughly east–west to accommodate prevailing winds for general aviation and regional traffic.
-
B.
Runway 9/27
Runway 9/27 is a primary paved runway at Hagerstown Regional Airport in Maryland, used for takeoffs and landings aligned roughly east–west.
-
C.
Runway 9/27
Runway 9/27 is a primary east–west oriented runway at Riverside Municipal Airport used for general aviation takeoffs and landings.
-
D.
Runway 9/27
Runway 9/27 is a primary paved runway at Charlevoix Municipal Airport in Michigan, aligned roughly east–west to accommodate prevailing winds for general aviation operations.
-
E.
Runway 9/27
Runway 9/27 is a primary paved runway at Bishop International Airport in Flint, Michigan, used for commercial and general aviation operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bfaee881908d701c5a05528939 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.