Triple
T7038878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chikatetsu Narimasu Station |
E163455
|
entity |
| Predicate | hasAdjacentStationOnFukutoshinLine |
P74685
|
FINISHED |
| Object | Wakōshi 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: Wakōshi Station | Statement: [Chikatetsu Narimasu Station, hasAdjacentStationOnFukutoshinLine, Wakōshi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentStationOnFukutoshinLine Context triple: [Chikatetsu Narimasu Station, hasAdjacentStationOnFukutoshinLine, Wakōshi Station]
-
A.
adjacentStationOnChuoLine
Indicates that two stations are directly next to each other as consecutive stops on the Chuo railway line.
-
B.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote Line, with no other stations in between.
-
C.
adjacentStationOnYokosukaLine
Indicates that one station is directly next to another station along the Yokosuka railway line, with no other stations in between.
-
D.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.