Triple
T20363718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZYTX |
E496851
|
entity |
| Predicate | associatedRunways |
P105006
|
FINISHED |
| Object | runway 06/24 |
—
|
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: runway 06/24 | Statement: [ZYTX, associatedRunways, runway 06/24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRunways Context triple: [ZYTX, associatedRunways, runway 06/24]
-
A.
associatedWithRunways
chosen
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
-
B.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
C.
hasRunwaysAt
Indicates that a location or facility possesses one or more runways situated at that place.
-
D.
runwayAdjacentTo
Indicates that a runway is directly next to or alongside another feature or area, with no significant separation between them.
-
E.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786fd0088190908187ab642344cc |
completed | April 20, 2026, 7:03 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:26 a.m.