Triple
T20331889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow–Minsk railway |
E492502
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Orsha |
—
|
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: Orsha | Statement: [Moscow–Minsk railway, passesThrough, Orsha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orsha Context triple: [Moscow–Minsk railway, passesThrough, Orsha]
-
A.
Orsha
chosen
Orsha is a historic city in eastern Belarus known as a regional transport hub and site of several significant battles.
-
B.
Moghiliov-Podolsk
Moghiliov-Podolsk is the Romanian name for Mogilev-Podilskyi, a city in western Ukraine located on the Dniester River near the border with Moldova.
-
C.
Borisoglebsk
Borisoglebsk is a small Russian city known for its historical architecture and location on the Vorona River in southwestern Russia.
-
D.
Kozelsk
Kozelsk is a historic town in western Russia known for its medieval defenses and location within Kaluga Oblast.
-
E.
Vitebsk
Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e886a08190952b828fedd2a411 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:22 a.m.