Triple
T1146085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Yamanote Line |
E23567
|
entity |
| Predicate | majorInterchangeRole |
P21867
|
FINISHED |
| Object | connects multiple JR lines |
—
|
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: connects multiple JR lines | Statement: [JR Yamanote Line, majorInterchangeRole, connects multiple JR lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorInterchangeRole Context triple: [JR Yamanote Line, majorInterchangeRole, connects multiple JR lines]
-
A.
isMajorInterchangeFor
chosen
Indicates that one location functions as a primary hub where multiple routes or lines connect or transfer between each other for another location.
-
B.
isMajorArterialFor
Indicates that something functions as a primary high-capacity route or conduit serving as a main channel for movement, flow, or traffic for something else.
-
C.
otherMajorTerminal
Indicates that an entity is associated with a different primary terminal or endpoint than the one currently referenced or considered.
-
D.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
E.
railNetworkRole
Indicates the specific function or responsibility an entity has within a rail network system.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc6e8c2081909fb3534413b7aacb |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.