Triple
T20146366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washim district |
E491311
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Washim railway 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: Washim railway station | Statement: [Washim district, hasRailwayStation, Washim railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Washim railway station Context triple: [Washim district, hasRailwayStation, Washim railway station]
-
A.
Washim railway station
chosen
Washim railway station is a regional rail stop in Washim, Maharashtra, India, serving as a local transit hub on the Central Railway network.
-
B.
Wakoshi Station
Wakoshi Station is a major railway hub in Wako, Saitama Prefecture, Japan, serving multiple Tokyo Metro and Tobu lines and functioning as an important gateway between Saitama and central Tokyo.
-
C.
Takawashi Station
Takawashi Station is a local railway station serving passengers in the city of Kashiwara in Osaka Prefecture, Japan.
-
D.
Niwa station
Niwa station is a subway station on Beijing's Line 9 serving passengers in the Fengtai District of Beijing, China.
-
E.
Takanawadai Station
Takanawadai Station is a subway station in Tokyo, Japan, serving the Takanawa area on the Toei Asakusa Line.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679e43a48190b3a5da5710b07ff7 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.