Triple
T12910221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 09/27 |
E308840
|
entity |
| Predicate | icaoRunwayHeading09 |
P70220
|
FINISHED |
| Object | approximately 090 degrees |
—
|
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: approximately 090 degrees | Statement: [Runway 09/27, icaoRunwayHeading09, approximately 090 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: icaoRunwayHeading09 Context triple: [Runway 09/27, icaoRunwayHeading09, approximately 090 degrees]
-
A.
runwayEndHeading
chosen
Indicates the directional heading or bearing associated with the end of a runway, typically expressed in degrees relative to north.
-
B.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
C.
hasLeftRunwayIn07Direction
Indicates that an aircraft has departed or exited the runway heading in the 07 (070°) direction.
-
D.
runwayCharacteristic
Indicates a relationship where specific attributes or features are associated with a runway.
-
E.
takeoffAirportRunway
Indicates the specific airport runway from which an aircraft departs or takes off.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.