Triple
T33176011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukogawa Station |
E849174
|
entity |
| Predicate | adjacentStationOnHanshinMainLine |
P185340
|
FINISHED |
| Object | Deyashiki 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: Deyashiki Station | Statement: [Mukogawa Station, adjacentStationOnHanshinMainLine, Deyashiki Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnHanshinMainLine Context triple: [Mukogawa Station, adjacentStationOnHanshinMainLine, Deyashiki Station]
-
A.
adjacentStationOnHanshinNambaLine
Indicates that one station is directly next to another station along the Hanshin Namba railway line, with no other stations in between.
-
B.
adjacentStationOnHankyuKobeLine
Indicates that one station is directly next to another station along the Hankyu Kobe railway line, with no other stations in between.
-
C.
adjacentStationOnHankyuKyotoLine
Indicates that one station is directly next to another station along the Hankyu Kyoto railway line, with no other stations in between.
-
D.
adjacentStationOnOsakaHigashiLine
Indicates that one station is directly next to another station along the Osaka Higashi 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: May 1, 2026, 1:29 a.m.