Triple
T16927694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakameguro Station |
E410617
|
entity |
| Predicate | adjacentStationOnHibiyaLine |
P124782
|
FINISHED |
| Object | Ebisu 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: Ebisu Station | Statement: [Nakameguro Station, adjacentStationOnHibiyaLine, Ebisu Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStationOnHibiyaLine Context triple: [Nakameguro Station, adjacentStationOnHibiyaLine, Ebisu Station]
-
A.
adjacentToStationOnHanzomonLine
Indicates that one entity is directly next to or beside a station located on the Hanzomon railway line.
-
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.
adjacentStationOnGinzaLine
Indicates that one station is directly next to another station along the Ginza subway line, with no other stations in between.
-
D.
adjacentStationOnSennichimaeLine
Indicates that one station is directly next to another station along the Sennichimae railway line.
-
E.
adjacentStationOnMusashinoLine
Indicates that one station is directly next to another station along the Musashino railway line.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf3fc3c8190a884f7ecd5c47adb |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.