Triple
T37345197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hisaya-odori Station |
E927152
|
entity |
| Predicate | adjacentStationOnMeijoLine |
P193282
|
FINISHED |
| Object | Sakae 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: Sakae Station | Statement: [Hisaya-odori Station, adjacentStationOnMeijoLine, Sakae Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnMeijoLine Context triple: [Hisaya-odori Station, adjacentStationOnMeijoLine, Sakae Station]
-
A.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
B.
adjacentStationOnHibiyaLine
Indicates that one station is directly next to another station along the Hibiya Line, with no other stations in between.
-
C.
adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
-
D.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
-
E.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
| PDg | Predicate description generation | batch_69fd3d45ccb8819082f15e60bd33afc9 |
completed | May 8, 2026, 1:32 a.m. |
Created at: May 3, 2026, 4:16 p.m.