Triple
T14295258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siemens Velaro |
E354421
|
entity |
| Predicate | familyIncludes |
P3600
|
FINISHED |
| Object | Velaro CN |
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 CN | Statement: [Siemens Velaro, familyIncludes, Velaro CN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velaro CN Context triple: [Siemens Velaro, familyIncludes, Velaro CN]
-
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.
VelaX
VelaX is a pulsar wind nebula powered by the Vela pulsar, located within the Vela supernova remnant in the constellation Vela.
-
C.
Carrosio
Carrosio is a small municipality in the Liguria region of northwestern Italy, known for its rural landscape and proximity to the Apennine hills.
-
D.
Freccia Alata Plus
Freccia Alata Plus is a top-tier elite status level within Alitalia’s MilleMiglia frequent flyer program, offering enhanced benefits and privileges to its most loyal customers.
-
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.