Triple
T10686843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro Station |
E251899
|
entity |
| Predicate | TokyoMetroStationNumber |
P95305
|
FINISHED |
| Object | N-01 |
—
|
LITERAL FINISHED |
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: N-01 | Statement: [Meguro Station, TokyoMetroStationNumber, N-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TokyoMetroStationNumber Context triple: [Meguro Station, TokyoMetroStationNumber, N-01]
-
A.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
B.
stationNumberOnKeihinTohokuLine
Indicates the ordinal position of a station along the Keihin-Tōhoku railway line.
-
C.
adjacentStationOnSubwaySeishinYamateLine
Indicates that two stations are directly next to each other on the Seishin-Yamate subway line, with no other stations in between.
-
D.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
E.
adjacentStationOnYamanoteLine
Indicates that one station is directly next to another station along the Yamanote 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd192220819088eff88148376266 |
completed | April 9, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8cc0788190b4c02a772e4b58b3 |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df47899481909ac0e518d94883cb |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:10 p.m.