Triple
T19801812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 04/22 |
E475697
|
entity |
| Predicate | hasRunwayEnd |
P8863
|
FINISHED |
| Object | Runway 22 end |
—
|
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 22 end | Statement: [Runway 04/22, hasRunwayEnd, Runway 22 end]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 22 end Context triple: [Runway 04/22, hasRunwayEnd, Runway 22 end]
-
A.
Runway 12 end
chosen
Runway 12 end is the threshold and designated endpoint of the runway used for operations in the 120-degree magnetic heading direction.
-
B.
Runway 2R/20L
Runway 2R/20L is one of the primary paved runways at Fairbanks International Airport in Alaska, used for handling a mix of commercial, cargo, and general aviation traffic.
-
C.
Runway 02C/20C
Runway 02C/20C is one of the main parallel runways at Singapore Changi Airport, used for handling a significant portion of the airport’s takeoff and landing traffic.
-
D.
Runway 2L/20R
Runway 2L/20R is one of the primary paved runways at DuPage Airport in Illinois, used for general aviation and corporate aircraft operations.
-
E.
Runway 02R/20L
Runway 02R/20L is one of the main parallel runways at Singapore Changi Airport, used for handling high volumes of international air traffic.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653cc995c81908e4ca85b0639d541 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.