Triple
T8241589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Hall Station (Busan Metro) |
E192547
|
entity |
| Predicate | servesTransportationMode |
P14525
|
FINISHED |
| Object | rapid transit |
—
|
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: rapid transit | Statement: [City Hall Station (Busan Metro), servesTransportationMode, rapid transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesTransportationMode Context triple: [City Hall Station (Busan Metro), servesTransportationMode, rapid transit]
-
A.
transportModeImportant
Indicates that the mode of transport used is considered significant or plays an important role in the context of the relationship or action.
-
B.
publicTransitMode
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
C.
hasPrimaryTransportationMode
Indicates the main or most frequently used mode of transportation associated with an entity.
-
D.
transportationServedBy
chosen
Indicates that a transportation facility, route, or area is provided service or coverage by a specific transportation provider or mode.
-
E.
transportType
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783f67708190a4e1c4078c3a6fb0 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b437e881909958591357e83b9d |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.