Triple
T29573784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Denki University (near Kita-Senju) |
E753380
|
entity |
| Predicate | railLineAccess |
P57688
|
FINISHED |
| Object | JR Joban Line via Kita-Senju Station |
—
|
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: JR Joban Line via Kita-Senju Station | Statement: [Tokyo Denki University (near Kita-Senju), railLineAccess, JR Joban Line via Kita-Senju Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railLineAccess Context triple: [Tokyo Denki University (near Kita-Senju), railLineAccess, JR Joban Line via Kita-Senju Station]
-
A.
railAccessModel
Indicates the type or pattern of how rail infrastructure or services are accessed or connected between locations or entities.
-
B.
railwayAccess
chosen
Indicates that an entity has direct access to, connection with, or service by a railway line or station.
-
C.
railLineOrigin
Indicates that a rail line begins or originates from a specified location or point.
-
D.
railInfrastructureServed
Indicates that a rail infrastructure facility or segment is served, accessed, or operated by a particular service, operator, or network.
-
E.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d4896648190b8f42af1996b9bc3 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6 p.m.