Triple
T16344637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathrow Runway 09L/27R |
E396898
|
entity |
| Predicate | hasDirection27RHeading |
P117356
|
FINISHED |
| Object | approximately 270 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 270 degrees | Statement: [Heathrow Runway 09L/27R, hasDirection27RHeading, approximately 270 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirection27RHeading Context triple: [Heathrow Runway 09L/27R, hasDirection27RHeading, approximately 270 degrees]
-
A.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
B.
isDirection
chosen
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
C.
hasRouteDirection
Indicates that a specified route is associated with a particular travel direction (e.g., inbound, outbound, northbound).
-
D.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
-
E.
terminusDirection
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0da1808190b6477613a07c7a88 |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.