Triple
T14295262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Velaro |
E354421
|
entity |
| Predicate | familyIncludes |
P3600
|
FINISHED |
| Object | Velaro Novo |
E849517
|
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: Velaro Novo | Statement: [Siemens Velaro, familyIncludes, Velaro Novo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velaro Novo Context triple: [Siemens Velaro, familyIncludes, Velaro Novo]
-
A.
Velaro
chosen
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
B.
Avenio
Avenio is a low-floor tram and light rail vehicle platform developed by Siemens Mobility for urban public transportation systems worldwide.
-
C.
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.
-
D.
Luxilus
Luxilus is a genus of North American freshwater minnows in the family Leuciscidae, commonly found in streams and rivers.
-
E.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2281d481909714f8d8cfe71514 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.