Triple
T10930787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurskaya |
E258198
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kursky railway station |
E910983
|
NE 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: Kursky railway station | Statement: [Kurskaya, namedAfter, Kursky railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kursky railway station Context triple: [Kurskaya, namedAfter, Kursky railway station]
-
A.
Kursky railway station
chosen
Kursky railway station is one of Moscow’s major railway terminals, serving long-distance and suburban trains, particularly on routes toward Kursk and southern Russia.
-
B.
Krasnoselskaya station
Krasnoselskaya station is a Moscow Metro station known for its early Soviet-era architecture and location on the system’s first metro line.
-
C.
Kachinskaya station
Kachinskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
D.
Komsomolskaya station
Komsomolskaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Komsomolskaya station
Komsomolskaya station is a prominent Moscow Metro station known for its grand Stalinist architecture and location beneath Komsomolskaya Square, a major railway hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709f92088190a15ae3638d3b14fb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbce653481909b201a2d5871e129 |
completed | April 19, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:22 p.m.