Triple
T25715411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London–Tokyo |
E644848
|
entity |
| Predicate | servedByAirportPair |
P175948
|
FINISHED |
| Object | London Heathrow Airport – Tokyo Haneda Airport |
—
|
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: London Heathrow Airport – Tokyo Haneda Airport | Statement: [London–Tokyo, servedByAirportPair, London Heathrow Airport – Tokyo Haneda Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByAirportPair Context triple: [London–Tokyo, servedByAirportPair, London Heathrow Airport – Tokyo Haneda Airport]
-
A.
servedByCityPair
Indicates that a service (such as a route or connection) is provided between a specific pair of cities.
-
B.
servedByAirportInOriginCity
Indicates that the origin city of a trip or route is served by a particular airport.
-
C.
associatedAirportServes
Indicates that a given airport provides service to, or is used by, the associated entity (such as a city, region, or facility).
-
D.
airportCodePair
Indicates a relationship between two entities where each is associated with a specific airport code, typically representing a pair of airports linked in some context such as a route or connection.
-
E.
servesAirport
Indicates that a transportation service or route provides access to and operates for a particular airport.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 21, 2026, 9:40 p.m.