Triple
T769103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 10L/28R |
E16240
|
entity |
| Predicate | isParallelRunwaySystemMember |
P11810
|
FINISHED |
| Object | 10L/28R–10R/28L |
—
|
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: 10L/28R–10R/28L | Statement: [Runway 10L/28R, isParallelRunwaySystemMember, 10L/28R–10R/28L]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isParallelRunwaySystemMember Context triple: [Runway 10L/28R, isParallelRunwaySystemMember, 10L/28R–10R/28L]
-
A.
hasParallelRunway
chosen
Indicates that one runway is parallel in orientation and alignment to another runway.
-
B.
hasRunwayConfigurationRole
Indicates that an entity plays a specific functional role within a particular runway configuration.
-
C.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
D.
partOfRunwayComplex
Indicates that one runway or runway-related element is a constituent component of a larger runway complex.
-
E.
hasRunwayType
Indicates that an airport or airfield has a runway of a specified type or surface classification.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a70376988190be2826259f5281ab |
completed | March 1, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69a4a508c42c8190850a0ac7844a3ea9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.