Triple
T13081713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakano |
E310221
|
entity |
| Predicate | distanceToShinjuku |
P85462
|
FINISHED |
| Object | approximately one station away on JR Chūō Line |
—
|
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: approximately one station away on JR Chūō Line | Statement: [Nakano, distanceToShinjuku, approximately one station away on JR Chūō Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToShinjuku Context triple: [Nakano, distanceToShinjuku, approximately one station away on JR Chūō Line]
-
A.
distanceToShinjukuStation_km
chosen
Indicates the physical distance, measured in kilometers, between a given place and Shinjuku Station.
-
B.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
C.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
-
D.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
-
E.
distanceToIōtō
Indicates the spatial distance between a subject and the location Iōtō.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.