Triple
T27704121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Atlantic Airways |
E698501
|
entity |
| Predicate | proposedRoute |
P71218
|
FINISHED |
| Object | United Kingdom–Falkland Islands |
—
|
NE NERFINISHED |
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: United Kingdom–Falkland Islands | Statement: [British Atlantic Airways, proposedRoute, United Kingdom–Falkland Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedRoute Context triple: [British Atlantic Airways, proposedRoute, United Kingdom–Falkland Islands]
-
A.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
B.
routePlan
chosen
Indicates a planned path or sequence of steps for traveling from a starting point to a destination.
-
C.
routeOptimization
Indicates the process of determining the most efficient path or sequence of paths between locations according to specified criteria such as distance, time, or cost.
-
D.
popularRouteVia
Indicates that a route between two locations commonly or frequently passes through a specified intermediate point or path.
-
E.
routeChoiceIn
Indicates that a particular route is selected or used within a given route choice or decision context.
- 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_69ef590ea74081908f0cd7500d85fa27 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 2:58 p.m.