Triple
T25169602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Fukutoshin Line (Ikebukuro Station) |
E630281
|
entity |
| Predicate | adjacentStationTowardsWakoshi |
P164783
|
FINISHED |
| Object | Senkawa 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: Senkawa Station | Statement: [Tokyo Metro Fukutoshin Line (Ikebukuro Station), adjacentStationTowardsWakoshi, Senkawa Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationTowardsWakoshi Context triple: [Tokyo Metro Fukutoshin Line (Ikebukuro Station), adjacentStationTowardsWakoshi, Senkawa Station]
-
A.
adjacentStationOnSakurajimaLine
Indicates that one station is directly next to another station along the Sakurajima railway line, with no other stations in between.
-
B.
adjacentStationTowardsShinjuku
Indicates that one station is directly next to another in the direction toward Shinjuku.
-
C.
adjacentStationTowardsOgikubo
Indicates that one station is directly next to another in the direction toward Ogikubo.
-
D.
adjacentStationTowardsShibuya
Indicates that one station is directly next to another in the direction of Shibuya along a 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 21, 2026, 12:19 p.m.