Triple
T2992105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauvais–Tillé Airport |
E80779
|
entity |
| Predicate | runway08/26Orientation |
P6272
|
FINISHED |
| Object | east–west |
—
|
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: east–west | Statement: [Beauvais–Tillé Airport, runway08/26Orientation, east–west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runway08/26Orientation Context triple: [Beauvais–Tillé Airport, runway08/26Orientation, east–west]
-
A.
hasRunwayOrientation
chosen
Indicates that a runway is aligned or oriented in a specific directional heading.
-
B.
runway
Indicates a relationship where a runway serves as the takeoff and landing surface used by aircraft at an airport or airfield.
-
C.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
D.
orientationInducedBy
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
-
E.
surfaceOrientation
Indicates the spatial orientation or facing direction of a surface relative to a reference frame or viewpoint.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99df69d08190a0e25efb0dc8d653 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.