Triple
T14265014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Desiro |
E353621
|
entity |
| Predicate | brandedAs |
P1500
|
FINISHED |
| Object |
Desiro ML
Desiro ML is a modern, modular electric multiple unit train platform developed by Siemens for regional and commuter rail services.
|
E1090013
|
NE FINISHED |
How this triple was built (4 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: Desiro ML | Statement: [Siemens Desiro, brandedAs, Desiro ML]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desiro ML Context triple: [Siemens Desiro, brandedAs, Desiro ML]
-
A.
Piloo Mody
Piloo Mody was an Indian architect-turned-politician known for his liberal, pro-market views and outspoken role in opposition politics during the 1960s and 1970s.
-
B.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
C.
Movia
Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
-
D.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
E.
Sharan
Sharan is a given name most notably borne by Sharan Burrow, an Australian trade union leader and former General Secretary of the International Trade Union Confederation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Desiro ML Triple: [Siemens Desiro, brandedAs, Desiro ML]
Generated description
Desiro ML is a modern, modular electric multiple unit train platform developed by Siemens for regional and commuter rail services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Desiro ML Target entity description: Desiro ML is a modern, modular electric multiple unit train platform developed by Siemens for regional and commuter rail services.
-
A.
Piloo Mody
Piloo Mody was an Indian architect-turned-politician known for his liberal, pro-market views and outspoken role in opposition politics during the 1960s and 1970s.
-
B.
Movia
Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
-
C.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
D.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
E.
Sharan
Sharan is a given name most notably borne by Sharan Burrow, an Australian trade union leader and former General Secretary of the International Trade Union Confederation.
- F. None of above. chosen
Provenance (5 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326367348190b4b31b32f4ca5639 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd335a496881908689b5769bb677ae |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3445422c8190a22eaa4bef5fdf76 |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:09 a.m.