Triple
T35963779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oyama Station |
E1040078
|
entity |
| Predicate | adjacentStationOnTobuTojoLine |
P192179
|
FINISHED |
| Object | Kita-Ikebukuro 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: Kita-Ikebukuro Station | Statement: [Oyama Station, adjacentStationOnTobuTojoLine, Kita-Ikebukuro Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnTobuTojoLine Context triple: [Oyama Station, adjacentStationOnTobuTojoLine, Kita-Ikebukuro Station]
-
A.
adjacentStationOnTokyuToyokoLine
Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
-
B.
adjacentStationOnTōzaiLine
Indicates that one station is directly next to another station along the Tōzai railway line, with no other stations in between.
-
C.
adjacentStationOnJRTōzaiLine
Indicates that one station is directly next to another station along the JR Tōzai Line, with no other stations in between.
-
D.
adjacentStationOnTanimachiLine
Indicates that one station is directly next to another station along the Tanimachi subway line.
-
E.
adjacentStationOnToeiOedoLine
Indicates that one station is directly next to another station along the Toei Ōedo subway 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
| PDg | Predicate description generation | batch_69fcf82405c88190a19cecf8e9cc272d |
completed | May 7, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:07 p.m.