Triple
T38050785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujinomiya Station |
E949748
|
entity |
| Predicate | adjacentStationOnMinobuLine |
P194223
|
FINISHED |
| Object | Nishi-Fujinomiya 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: Nishi-Fujinomiya Station | Statement: [Fujinomiya Station, adjacentStationOnMinobuLine, Nishi-Fujinomiya Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnMinobuLine Context triple: [Fujinomiya Station, adjacentStationOnMinobuLine, Nishi-Fujinomiya Station]
-
A.
adjacentStationOnMeijoLine
Indicates that one station is directly next to another station along the Meijo railway line.
-
B.
adjacentStationOnNambuLine
Indicates that one station is directly next to another station along the Nambu railway line, with no other stations in between.
-
C.
adjacentStationOnMidosujiLine
Indicates that one station is directly next to another station along the Midosuji railway line, with no other stations in between.
-
D.
adjacentStationOnSennichimaeLine
Indicates that one station is directly next to another station along the Sennichimae railway line.
-
E.
adjacentStationOnTsurumaiLine
Indicates that one station is directly next to another station along the Tsurumai 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
| PDg | Predicate description generation | batch_69fd67182c348190aa84a02e08dbf4e1 |
completed | May 8, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:20 p.m.