Triple
T14971709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakurai Station (Osaka) |
E373335
|
entity |
| Predicate | railwayStationIn |
P918
|
FINISHED |
| Object | Osaka Prefecture |
—
|
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: Osaka Prefecture | Statement: [Sakurai Station (Osaka), railwayStationIn, Osaka Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayStationIn Context triple: [Sakurai Station (Osaka), railwayStationIn, Osaka Prefecture]
-
A.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
B.
hasRailwayStation
chosen
Indicates that a place or location is served by, or contains, a railway station.
-
C.
railwayStationInCountry
Indicates that a railway station is located within the borders of a specified country.
-
D.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
-
E.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:50 a.m.