Triple
T24566732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakuranomiya Station |
E607810
|
entity |
| Predicate | stationNumberOnOsakaLoopLine |
P156375
|
FINISHED |
| Object | JR-O09 |
—
|
LITERAL FINISHED |
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: JR-O09 | Statement: [Sakuranomiya Station, stationNumberOnOsakaLoopLine, JR-O09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationNumberOnOsakaLoopLine Context triple: [Sakuranomiya Station, stationNumberOnOsakaLoopLine, JR-O09]
-
A.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
B.
adjacentStationOnOsakaLoopLine
Indicates that one station is directly next to another station along the Osaka Loop railway line, with no other stations in between.
-
C.
stationNumberOnKeioInokashiraLine
Indicates the station’s position or sequence number along the Keio Inokashira railway line.
-
D.
stationNumberOnKeihinTohokuLine
Indicates the ordinal position of a station along the Keihin-Tōhoku railway line.
-
E.
adjacentStationOnHanshinNambaLine
Indicates that one station is directly next to another station along the Hanshin Namba 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a92141f88190bcbd7c6aeafc0725 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:28 a.m.