Triple
T37248664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Ticket Office |
E923931
|
entity |
| Predicate | hasCounterType |
—
|
GENERATED |
| Object | manned counter |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCounterType Context triple: [JR Ticket Office, hasCounterType, manned counter]
-
A.
hasCounterService
Indicates that a place provides service to customers over a counter, such as ordering, paying, or receiving items at a service counter.
-
B.
hasCounterSubject
Indicates that a subject is associated with another subject that serves as its counterpart, opposite, or contrasting entity in a given context.
-
C.
hasCountingDirection
Indicates the direction or order in which counting or enumeration proceeds between related entities.
-
D.
requiresCounter
Indicates that one entity must be opposed, balanced, or mitigated by another entity acting as a counter or counterpart.
-
E.
hasCountingPeriod
Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
- F. None of above. chosen
Provenance (1 batch)
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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.