Triple
T812106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfa Romeo |
E17567
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | A.L.F.A. |
E17567
|
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: A.L.F.A. | Statement: [Alfa Romeo, originalName, A.L.F.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A.L.F.A. Context triple: [Alfa Romeo, originalName, A.L.F.A.]
-
A.
Alfa Pendular
Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro with faster, more comfortable rail travel.
-
B.
Alfa Romeo
chosen
Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
-
C.
Abarth
Abarth is an Italian performance car and racing brand known for tuning and producing sporty versions of Fiat and other compact vehicles.
-
D.
IM Motors
IM Motors is a Chinese premium electric vehicle brand known for its smart, tech-focused cars developed under SAIC Motor.
-
E.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab4c7418819085cb64c6bf5fa70c |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8869888190a95857546dfae5b3 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.