Triple
T26485933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weifang Railway Station |
E664819
|
entity |
| Predicate | hasTicketingService |
P3383
|
FINISHED |
| Object | on-site ticket office |
—
|
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: on-site ticket office | Statement: [Weifang Railway Station, hasTicketingService, on-site ticket office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTicketingService Context triple: [Weifang Railway Station, hasTicketingService, on-site ticket office]
-
A.
hasTicketing
chosen
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
B.
hasTicketingStatus
Indicates the current ticketing state or condition associated with an entity, such as whether tickets are available, pending, confirmed, or canceled.
-
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.
hasTicketIntegration
Indicates that there is an established connection enabling ticket-related data or actions to be shared or synchronized between systems or components.
-
E.
ticketingCompatibleWith
Indicates that two systems, services, or components can interoperate or be used together within the same ticketing or reservation workflow without conflict.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 12:30 a.m.