Triple
T10209239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Mobility |
E242282
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
|
E849517
|
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: Velaro | Statement: [Siemens Mobility, brand, Velaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velaro Context triple: [Siemens Mobility, brand, Velaro]
-
A.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
B.
Morini
The Morini were an ancient Belgic tribe inhabiting the coastal region of what is now northern France and southwestern Belgium during the Iron Age and Roman period.
-
C.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
D.
Rimac
Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
-
E.
LJ Torana
LJ Torana is a model of the Holden Torana, a compact Australian car produced by Holden in the early 1970s and popular in both everyday use and motorsport.
- 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: Velaro Triple: [Siemens Mobility, brand, Velaro]
Generated description
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Velaro Target entity description: Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
A.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
B.
Morini
The Morini were an ancient Belgic tribe inhabiting the coastal region of what is now northern France and southwestern Belgium during the Iron Age and Roman period.
-
C.
Auta
Auta is a small settlement on the island of Mitiaro in the Cook Islands.
-
D.
Rimac
Rimac is a Croatian automotive company renowned for developing high-performance electric hypercars and advanced EV technologies used by major luxury and sports car manufacturers.
-
E.
LJ Torana
LJ Torana is a model of the Holden Torana, a compact Australian car produced by Holden in the early 1970s and popular in both everyday use and motorsport.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395fa86cc8190b4f115b5a0f99772 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d654ddaed88190bcd7f1a2ee9dd462 |
completed | April 8, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d655338cc08190ba00163f0afa4c3b |
completed | April 8, 2026, 1:16 p.m. |
Created at: April 6, 2026, 10:59 a.m.