Triple
T36020950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京浜東北線 |
E1041981
|
entity |
| Predicate | 経由主要駅 |
P65336
|
FINISHED |
| Object | 浦和駅 |
—
|
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: 浦和駅 | Statement: [京浜東北線, 経由主要駅, 浦和駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 経由主要駅 Context triple: [京浜東北線, 経由主要駅, 浦和駅]
-
A.
主な発着駅
Indicates that one entity serves as the primary departure and arrival station associated with another entity (such as a route, service, or line).
-
B.
代表的途中駅
chosen
Indicates that something serves as or is designated as an intermediate station representing a route or line.
-
C.
isMainBusStationFor
Indicates that one bus station serves as the primary or central station for a particular area, network, or service.
-
D.
middleStation
Indicates that one station lies between two other stations along a route or line, serving as an intermediate point in the sequence.
-
E.
servesAsThroughStationFor
Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ace302e08190a7ea85706d581063 |
completed | May 3, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.