Triple
T15512514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takaido Station |
E368745
|
entity |
| Predicate | distanceFromShibuya |
P116898
|
FINISHED |
| Object | approximately 8–9 km |
—
|
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 8–9 km | Statement: [Takaido Station, distanceFromShibuya, approximately 8–9 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromShibuya Context triple: [Takaido Station, distanceFromShibuya, approximately 8–9 km]
-
A.
distanceFromShibuyaTerminus_km
chosen
Indicates the distance, measured in kilometers, from the Shibuya terminus to the referenced location or entity.
-
B.
distanceToShinjukuStation_km
Indicates the physical distance, measured in kilometers, between a given place and Shinjuku Station.
-
C.
distanceFromTokyo
Indicates the physical distance between a given location and Tokyo.
-
D.
distanceFromShibuyaOnKeioInokashiraLine
Indicates the distance of an entity from Shibuya Station measured along the Keio Inokashira railway line.
-
E.
distanceFromKyotoStation
Indicates the spatial distance between a given location and Kyoto Station.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04030c0208190a1931ea130075603 |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4 a.m.