Triple
T24495755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 부산 도시철도 2호선 |
E617784
|
entity |
| Predicate | isPartOfPublicTransportNetwork |
P8428
|
FINISHED |
| Object | 부산광역시 대중교통 체계 |
—
|
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: 부산광역시 대중교통 체계 | Statement: [부산 도시철도 2호선, isPartOfPublicTransportNetwork, 부산광역시 대중교통 체계]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfPublicTransportNetwork Context triple: [부산 도시철도 2호선, isPartOfPublicTransportNetwork, 부산광역시 대중교통 체계]
-
A.
usesPublicTransportNetwork
Indicates that an entity makes use of a public transportation system (such as buses, trains, trams, or subways) to travel or operate.
-
B.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
C.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
D.
isPublicTransport
Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
-
E.
isInTransportNetwork
Indicates that an entity is part of, connected to, or contained within a specific transport network or system.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.