Triple
T7541440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 3 |
E178283
|
entity |
| Predicate | hasOppositeRunway |
P66860
|
FINISHED |
| Object | Runway 21 |
E134006
|
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 21 | Statement: [Runway 3, hasOppositeRunway, Runway 21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runway 21 Context triple: [Runway 3, hasOppositeRunway, Runway 21]
-
A.
Runway 21
chosen
Runway 21 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
-
B.
Runway 22
Runway 22 is the runway end aligned approximately with a 220-degree magnetic heading, commonly used for aircraft takeoffs and landings in that direction.
-
C.
Runway 19
Runway 19 is one of the primary landing and takeoff runways serving Charles B. Wheeler Downtown Airport in Kansas City, Missouri.
-
D.
Runway 23
Runway 23 is an airport runway designated for use in the approximate 230-degree magnetic heading direction, typically paired with its opposite-direction counterpart as part of a single physical runway.
-
E.
Runway 18
Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8750f80819088ddfb7a5580b5df |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca53f2b0b8819090ca8ee3721a9867 |
completed | March 30, 2026, 10:44 a.m. |
Created at: March 27, 2026, 3:48 p.m.