Triple
T24895362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Saikyo Line (at Ikebukuro Station) |
E623123
|
entity |
| Predicate | adjacentJRStationNorth |
P32736
|
FINISHED |
| Object | Itabashi 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: Itabashi Station | Statement: [JR Saikyo Line (at Ikebukuro Station), adjacentJRStationNorth, Itabashi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentJRStationNorth Context triple: [JR Saikyo Line (at Ikebukuro Station), adjacentJRStationNorth, Itabashi Station]
-
A.
adjacentStationNorth
chosen
Indicates that one station is directly adjacent to another station to its north.
-
B.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
C.
adjacentStationOnTokyuToyokoLine
Indicates that one station is directly next to another station along the Tokyu Toyoko railway line.
-
D.
adjacentStationOnSaikyoLine
Indicates that one station is directly next to another station along the Saikyo railway line, with no other stations in between.
-
E.
adjacentStationOnJRKobeLine
Indicates that one station is directly next to another station along the JR Kobe railway line, with no other stations in between.
- F. None of above.
Provenance (3 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:26 a.m.