Triple
T6314035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utsunomiya Station |
E141570
|
entity |
| Predicate | hasPassengerUsageRank |
P25678
|
FINISHED |
| Object | busiest station in Tochigi Prefecture |
—
|
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: busiest station in Tochigi Prefecture | Statement: [Utsunomiya Station, hasPassengerUsageRank, busiest station in Tochigi Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerUsageRank Context triple: [Utsunomiya Station, hasPassengerUsageRank, busiest station in Tochigi Prefecture]
-
A.
hasApproxAnnualPassengerUsageRank
Indicates the approximate position or ranking of an entity based on its annual passenger usage compared to similar entities.
-
B.
hasPassengerUsageCategory
Indicates the classification of how a passenger-related resource or service is used (e.g., its usage type or category for passengers).
-
C.
hasPassengerUsageStatistics
Indicates the relationship by which an entity is associated with data describing how passengers use it, such as counts, frequencies, or patterns of passenger activity.
-
D.
hasPassengerTrafficRank
chosen
Indicates the relative position or ranking of an entity based on the volume of passenger traffic it handles compared to others.
-
E.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a075dc8190acf7ec010cb4b00c |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.