Triple
T32169519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR黄檗駅 |
E821669
|
entity |
| Predicate | adjacentStationOnNaraLine |
P181682
|
FINISHED |
| Object | 宇治駅 |
—
|
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: 宇治駅 | Statement: [JR黄檗駅, adjacentStationOnNaraLine, 宇治駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnNaraLine Context triple: [JR黄檗駅, adjacentStationOnNaraLine, 宇治駅]
-
A.
adjacentStationOnNambuLine
Indicates that one station is directly next to another station along the Nambu railway line, with no other stations in between.
-
B.
adjacentStationOnKarasumaLine
Indicates that one station is directly next to another station along the Karasuma railway line.
-
C.
adjacentStationOnNambokuLine
Indicates that one station is directly next to another station along the Namboku railway line.
-
D.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
E.
adjacentStationOnOsakaLoopLine
Indicates that one station is directly next to another station along the Osaka Loop 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: May 1, 2026, 12:33 a.m.