Triple
T10640367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D5 |
E250703
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object | Ivolga EMU |
E250704
|
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: Ivolga EMU | Statement: [D5, rollingStock, Ivolga EMU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivolga EMU Context triple: [D5, rollingStock, Ivolga EMU]
-
A.
Ivolga electric multiple unit
chosen
The Ivolga electric multiple unit is a modern Russian commuter train series designed for high-capacity, comfortable suburban and urban rail services.
-
B.
Civia EMU
Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
-
C.
Comeng EMU
The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
-
D.
Stadler KISS double-deck EMU
The Stadler KISS double-deck EMU is a high-capacity, electric multiple-unit commuter train known for its bi-level design, rapid acceleration, and use on regional and suburban rail services in various countries.
-
E.
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.
- 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.