Triple
T16044820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagatsuta Station |
E389189
|
entity |
| Predicate | adjacentStationOnYokohamaLine |
P121739
|
FINISHED |
| Object | Naruse 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: Naruse Station | Statement: [Nagatsuta Station, adjacentStationOnYokohamaLine, Naruse Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnYokohamaLine Context triple: [Nagatsuta Station, adjacentStationOnYokohamaLine, Naruse Station]
-
A.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
-
B.
adjacentStationOnYokosukaLine
Indicates that one station is directly next to another station along the Yokosuka railway line, with no other stations in between.
-
C.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
D.
adjacentStationOnTokyoMetroYurakuchoLine
Indicates that one station is directly next to another station along the Tokyo Metro Yurakucho Line, with no other stations in between.
-
E.
adjacentStationOnSubwaySeishinYamateLine
Indicates that two stations are directly next to each other on the Seishin-Yamate subway 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:56 a.m.