Triple
T21654406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juso Station |
E534419
|
entity |
| Predicate | adjacentStationOnHankyuKobeLine |
P144883
|
FINISHED |
| Object | Umeda 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: Umeda Station | Statement: [Juso Station, adjacentStationOnHankyuKobeLine, Umeda Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnHankyuKobeLine Context triple: [Juso Station, adjacentStationOnHankyuKobeLine, Umeda Station]
-
A.
adjacentStationOnHankyuKyotoLine
Indicates that one station is directly next to another station along the Hankyu Kyoto railway line, with no other stations in between.
-
B.
adjacentStationOnJRKobeLine
Indicates that one station is directly next to another station along the JR Kobe railway line, with no other stations in between.
-
C.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
D.
adjacentStationOnKodomonokuniLine
Indicates that one station is directly next to another station along the Kodomonokuni railway line.
-
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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59176b28819092384fc5f8968022 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.