Triple
T25535916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokusaikaikan Station |
E640036
|
entity |
| Predicate | isNorthernmostStationOnLine |
P64513
|
FINISHED |
| Object | Karasuma 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: Karasuma Line | Statement: [Kokusaikaikan Station, isNorthernmostStationOnLine, Karasuma Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNorthernmostStationOnLine Context triple: [Kokusaikaikan Station, isNorthernmostStationOnLine, Karasuma Line]
-
A.
isNorthernmost
chosen
Indicates that one entity is located farther north than all other comparable entities in a given set or region.
-
B.
isEasternmostSubwayStationOn
Indicates that a subway station is the geographically farthest east station located on a given subway line.
-
C.
isOnNorthSideMainLine
Indicates that something is located on the north side of the main line.
-
D.
previousStationOnLine1Northbound
Indicates that one station is immediately before another station when traveling northbound on line 1.
-
E.
adjacentStationOnNorthernLine
Indicates that one station is directly next to another station along the Northern Line, with no other stations in between.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f89056b481908f02d5d6d2837bfd |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 3:22 p.m.