Triple
T7388250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goya inference processor |
E170435
|
entity |
| Predicate | productFamily |
P11218
|
FINISHED |
| Object | Habana Goya |
E660954
|
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: Habana Goya | Statement: [Goya inference processor, productFamily, Habana Goya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Habana Goya Context triple: [Goya inference processor, productFamily, Habana Goya]
-
A.
Habana Goya
chosen
Habana Goya is a graphics processing unit (GPU) architecture developed by Habana Labs, primarily designed to accelerate deep learning inference workloads in data centers.
-
B.
Habana Vieja
Habana Vieja is the historic old quarter of Havana, Cuba, renowned for its colonial architecture, cobblestone streets, and vibrant cultural life.
-
C.
Centro Habana
Centro Habana is a densely populated central district of Havana, Cuba, known for its historic architecture, vibrant street life, and proximity to many of the city’s major cultural landmarks.
-
D.
Havana
"Havana" is a Latin-influenced pop song by Cuban-American singer Camila Cabello that became an international hit and one of her signature tracks.
-
E.
Malasaña
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8343c1b308190b4ba681158b54aba |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:09 p.m.