Triple
T16344643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heathrow Runway 09L/27R |
E396898
|
entity |
| Predicate | usesRunwayAlternation |
P123050
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Heathrow Runway 09L/27R, usesRunwayAlternation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRunwayAlternation Context triple: [Heathrow Runway 09L/27R, usesRunwayAlternation, yes]
-
A.
usesRunwayOf
Indicates that one entity makes use of the runway that belongs to or is associated with another entity.
-
B.
usesRunwayNumberingConvention
Indicates that an airport or runway follows a specific standardized system for assigning runway identification numbers.
-
C.
isRunwayOf
Indicates that a physical runway is a component or facility belonging to, used by, or officially associated with a particular airport or airfield.
-
D.
hasRunwayNumber
Indicates that an airport or airfield runway is assigned a specific identifying number.
-
E.
hasRunwayCount
Indicates the number of runways that a given entity (such as an airport) possesses.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.