Triple
T12034955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 09L/27R |
E286512
|
entity |
| Predicate | hasLeftRightDesignator |
P54806
|
FINISHED |
| Object | L for 09 direction |
—
|
LITERAL 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: L for 09 direction | Statement: [Runway 09L/27R, hasLeftRightDesignator, L for 09 direction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeftRightDesignator Context triple: [Runway 09L/27R, hasLeftRightDesignator, L for 09 direction]
-
A.
hasPortionDesignatedAs
Indicates that one entity has a specific part or segment that is explicitly identified or designated as another entity.
-
B.
hasRunwayDesignationSide
chosen
Indicates that a runway designation is associated with a specific side or direction of the runway (e.g., left, right, or center).
-
C.
isDesignatedRight
Indicates that something has been formally assigned or recognized as the correct or official right in a given context.
-
D.
hasDesignOption
Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
-
E.
hasLateralityPattern
Indicates that something possesses a specific sidedness or lateral arrangement (e.g., left, right, bilateral) as a characteristic pattern.
- F. None of above.
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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.