Triple
T28482957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nopo |
E720743
|
entity |
| Predicate | hasIntercityBusConnectionsTo |
P193295
|
FINISHED |
| Object | other cities in South Korea |
—
|
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: other cities in South Korea | Statement: [Nopo, hasIntercityBusConnectionsTo, other cities in South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntercityBusConnectionsTo Context triple: [Nopo, hasIntercityBusConnectionsTo, other cities in South Korea]
-
A.
hasPassengerRailConnection
Indicates that there exists a passenger rail service linking one location or transport node to another.
-
B.
connectsToCityBy
chosen
Indicates that one entity is linked or has a direct connection to a specific city, such as through infrastructure, routes, or established relations.
-
C.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
D.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
-
E.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: April 28, 2026, 2:56 a.m.