Triple
T21328827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekhorka River |
E525840
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Zheleznodorozhny |
—
|
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: Zheleznodorozhny | Statement: [Pekhorka River, flowsThrough, Zheleznodorozhny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zheleznodorozhny Context triple: [Pekhorka River, flowsThrough, Zheleznodorozhny]
-
A.
Zheleznodorozhny
chosen
Zheleznodorozhny is a small Russian settlement located in Siberia, known for its position along the Kirenga River and its origins as a railway-related community.
-
B.
Rizhskaya
Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
-
C.
Zavlaka
Zavlaka is a village in western Serbia that forms part of the municipality of Osečina.
-
D.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
E.
Kuybyshev Railway
Kuybyshev Railway is a major regional division of the Russian Railways network, serving key transport routes in the Volga and Ural regions.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4f95fc819087eb32dca7da689a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:42 p.m.