Triple
T5052796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Gemini |
E113825
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | Gemini 2.0 Nano |
E490190
|
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: Gemini 2.0 Nano | Statement: [Google Gemini, hasVersion, Gemini 2.0 Nano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemini 2.0 Nano Context triple: [Google Gemini, hasVersion, Gemini 2.0 Nano]
-
A.
Gemini Nano
chosen
Gemini Nano is a lightweight, on-device variant of Google’s Gemini AI model designed to run efficiently on mobile and edge devices.
-
B.
Gemini 2.0
Gemini 2.0 is a major updated release of Google’s multimodal AI model family, designed to provide more powerful and versatile capabilities across text, code, image, and other modalities.
-
C.
Gemini 1.5
Gemini 1.5 is an advanced version of Google’s Gemini AI model family, offering improved multimodal reasoning and performance over earlier releases.
-
D.
Gemini SC-4
Gemini SC-4 was the NASA spacecraft used for the Gemini 4 mission, which carried astronauts James McDivitt and Edward White on the first American spacewalk in 1965.
-
E.
Gemini 2.0 Flash
Gemini 2.0 Flash is a lightweight, high-speed version of Google’s Gemini AI model optimized for fast, cost-efficient multimodal reasoning and interaction.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec35a3314819091a1520d3a366869 |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:38 p.m.