Triple
T24895370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Saikyo Line (at Ikebukuro Station) |
E623123
|
entity |
| Predicate | throughService |
P66391
|
FINISHED |
| Object | Rinkai Line |
—
|
NE NERFINISHED |
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: Rinkai Line | Statement: [JR Saikyo Line (at Ikebukuro Station), throughService, Rinkai Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throughService Context triple: [JR Saikyo Line (at Ikebukuro Station), throughService, Rinkai Line]
-
A.
throughServiceToLine
chosen
Indicates that a service operates through or along a specified line, establishing a through-service relationship between the service and the line.
-
B.
hasThroughServiceWith
Indicates that two transportation services are operationally linked so that a passenger or shipment can continue from one to the other without a separate booking or major interruption.
-
C.
throughServiceStarted
Indicates that a through (direct, continuing) service between locations has begun operation.
-
D.
nonTerminusThroughService
Indicates that a service passes through a location without that location being the starting point or final terminus of the service.
-
E.
servedByServiceVia
Indicates that something receives service or is fulfilled through a specific service acting as the intermediary or delivery mechanism.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:26 a.m.