Triple
T14022452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saratov-1 railway station |
E337368
|
entity |
| Predicate | railwayCode |
P18202
|
FINISHED |
| Object | САРАТОВ-1 |
E337368
|
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: САРАТОВ-1 | Statement: [Saratov-1 railway station, railwayCode, САРАТОВ-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: САРАТОВ-1 Context triple: [Saratov-1 railway station, railwayCode, САРАТОВ-1]
-
A.
Industrial Technical School in Saratov
The Industrial Technical School in Saratov is a Soviet-era vocational education institution best known as one of the places where future cosmonaut Yuri Gagarin studied before his historic spaceflight.
-
B.
Gorky-130
Gorky-130 was the Soviet-era codename for the closed nuclear research city now known as Sarov in Russia.
-
C.
Arzamas-16
Arzamas-16 was the secret Soviet closed city and primary nuclear weapons research center, now known as Sarov.
-
D.
Saratov-1 railway station
chosen
Saratov-1 railway station is the main passenger railway terminal in the city of Saratov, Russia, serving as a key regional transport hub.
-
E.
SAS-1
SAS-1 is the first generation of the Serial Attached SCSI (SAS) interface standard used for high-speed data transfer between storage devices and host systems.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3d87b88190b038d334f4965369 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32f78dc8190bd357d179cbaa5bc |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.