Triple
T14250753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikenoue Station |
E353253
|
entity |
| Predicate | adjacentStationOnKeioInokashiraLine |
P113399
|
FINISHED |
| Object | Shimo-kitazawa 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: Shimo-kitazawa Station | Statement: [Ikenoue Station, adjacentStationOnKeioInokashiraLine, Shimo-kitazawa Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnKeioInokashiraLine Context triple: [Ikenoue Station, adjacentStationOnKeioInokashiraLine, Shimo-kitazawa Station]
-
A.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
B.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
C.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
-
D.
adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
-
E.
adjacentStationOnHankyuKyotoLine
Indicates that one station is directly next to another station along the Hankyu Kyoto 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239bd0f48190ada38c0261e0ef3c |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:08 a.m.