Triple
T10640366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D5 |
E250703
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | ES2G Lastochka |
E101289
|
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: ES2G Lastochka | Statement: [D5, rollingStock, ES2G Lastochka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ES2G Lastochka Context triple: [D5, rollingStock, ES2G Lastochka]
-
A.
Lastochka
chosen
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
B.
Eisenring
Eisenring is one of the central arsonists in Max Frisch’s play "Biedermann und die Brandstifter," embodying manipulative and destructive tendencies beneath a seemingly harmless exterior.
-
C.
Mosina
Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
-
D.
Elster
Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
-
E.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcbe5308190986bba438d19e852 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bcd8c0c8190a0fad6a85b5604bb |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:04 p.m.