Triple
T23097180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwangmyong Station |
E575923
|
entity |
| Predicate | hasTicketingMode |
P132047
|
FINISHED |
| Object | paper tickets |
—
|
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: paper tickets | Statement: [Kwangmyong Station, hasTicketingMode, paper tickets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTicketingMode Context triple: [Kwangmyong Station, hasTicketingMode, paper tickets]
-
A.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
B.
hasTicketIntegration
Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
-
C.
hasTicketingAuthority
Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
-
D.
hasElectronicTicketing
Indicates that an entity supports or provides electronic ticketing for access, booking, or transactions.
-
E.
hasTicketOption
chosen
Indicates that an entity offers or is associated with a particular ticket choice or type as an available option.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de61c7c8190809920fa1071935f |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.