Triple
T9779988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanya Phoenix International Airport |
E237341
|
entity |
| Predicate | hasTransportationLinks |
P3791
|
FINISHED |
| Object | airport buses |
—
|
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: airport buses | Statement: [Sanya Phoenix International Airport, hasTransportationLinks, airport buses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportationLinks Context triple: [Sanya Phoenix International Airport, hasTransportationLinks, airport buses]
-
A.
hasTransportationRelation
Indicates a relationship in which one entity provides, uses, is connected by, or is otherwise associated with a means or mode of transportation to another entity or location.
-
B.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
C.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
D.
hasPublicTransportConnection
chosen
Indicates that there is an available public transportation link or service connecting the related entities.
-
E.
hasPublicTransitRoute
Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b0b15881909ef52d0156148c59 |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.