Triple
T37771540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasuga Station |
E941559
|
entity |
| Predicate | adjacentStationOnToeiMitaLine |
P193866
|
FINISHED |
| Object | Suidobashi Station |
—
|
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: Suidobashi Station | Statement: [Kasuga Station, adjacentStationOnToeiMitaLine, Suidobashi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnToeiMitaLine Context triple: [Kasuga Station, adjacentStationOnToeiMitaLine, Suidobashi Station]
-
A.
adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
-
B.
adjacentStationOnMidosujiLine
Indicates that one station is directly next to another station along the Midosuji railway line, with no other stations in between.
-
C.
adjacentStationOnMeijoLine
Indicates that one station is directly next to another station along the Meijo railway line.
-
D.
adjacentStationOnTokyuToyokoLine
Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
-
E.
adjacentStationOnTokyuMeguroLine
Indicates that one station is directly next to another station along the Tokyu Meguro railway line, with no other stations in between.
- F. None of above. chosen
Provenance (4 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fd57b9cdec81908536c4159e375931 |
completed | May 8, 2026, 3:25 a.m. |
Created at: May 3, 2026, 4:19 p.m.