Triple
T3616931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burke Lakefront Airport |
E76624
|
entity |
| Predicate | hasRunway |
P105
|
FINISHED |
| Object | Runway 6R/24L |
E459964
|
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 6R/24L | Statement: [Burke Lakefront Airport, hasRunway, Runway 6R/24L]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 6R/24L Context triple: [Burke Lakefront Airport, hasRunway, Runway 6R/24L]
-
A.
Runway 6L/24R
chosen
Runway 6L/24R is a primary paved runway at Burke Lakefront Airport in Cleveland, Ohio, used for general aviation and regional air traffic operations.
-
B.
Runway 6/24
Runway 6/24 is a primary paved runway at Hudson Valley Regional Airport used for general aviation and regional air traffic operations.
-
C.
Runway 6/24
Runway 6/24 is a primary paved runway at Long Island MacArthur Airport in Ronkonkoma, New York, used for commercial and general aviation operations.
-
D.
Runway 6/24
Runway 6/24 is a primary paved runway at Martha's Vineyard Airport used for commercial and general aviation takeoffs and landings.
-
E.
Runway 06R/24L
Runway 06R/24L is one of the primary paved runways at Kansai International Airport in Osaka Bay, Japan, used for handling both domestic and international air traffic.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10079a408190ae09d3df55ead73c |
completed | March 21, 2026, 3:27 a.m. |
Created at: March 8, 2026, 3:23 p.m.