Triple
T10640481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Central Diameters |
E250706
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | EP2D EMU |
E250705
|
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: EP2D EMU | Statement: [Moscow Central Diameters, rollingStock, EP2D EMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EP2D EMU Context triple: [Moscow Central Diameters, rollingStock, EP2D EMU]
-
A.
EP2D electric multiple unit
chosen
The EP2D electric multiple unit is a modern Russian commuter train set designed for suburban and urban passenger services, featuring improved energy efficiency, comfort, and accessibility compared to earlier EMU models.
-
B.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
C.
Civia EMU
Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
-
D.
Comeng EMU
The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
-
E.
Z 20900 EMU
The Z 20900 EMU is a class of French electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
- 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_69d6dfcd19648190882380d2c90be486 |
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.