Triple
T2262105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis International Airport |
E50061
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 18C/36C |
E182303
|
NE 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: Runway 18C/36C | Statement: [Memphis International Airport, hasRunway, Runway 18C/36C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 18C/36C Context triple: [Memphis International Airport, hasRunway, Runway 18C/36C]
-
A.
Runway 18C/36C
chosen
Runway 18C/36C is a central north–south runway at Cincinnati/Northern Kentucky International Airport used primarily for commercial air traffic operations.
-
B.
Runway 18L/36R
Runway 18L/36R is a primary paved runway used for aircraft takeoffs and landings at Shanghai Hongqiao International Airport.
-
C.
Runway 18L/36R
Runway 18L/36R is a primary north–south runway used for commercial air traffic at Orlando International Airport in Orlando, Florida.
-
D.
Runway 18R/36L
Runway 18R/36L is a primary north–south runway used for commercial air traffic at Cincinnati/Northern Kentucky International Airport.
-
E.
Runway 18R/36L
Runway 18R/36L is a primary paved runway used for aircraft takeoffs and landings at Gimhae International Airport in Busan, South Korea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18be8308190abc4a59d37dfd93a |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2031a55148190a1b96af35d109259 |
completed | March 12, 2026, 12:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.