Triple
T17806036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G.726 |
E444560
|
entity |
| Predicate | belongsToSeries |
P4276
|
FINISHED |
| Object | G-series recommendations |
—
|
NE NERFINISHED |
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: G-series recommendations | Statement: [G.726, belongsToSeries, G-series recommendations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G-series recommendations Context triple: [G.726, belongsToSeries, G-series recommendations]
-
A.
G Series
G Series is Dell’s line of gaming-focused laptops and desktops designed to offer strong performance at more affordable prices than its premium Alienware range.
-
B.
GR series
The GR series is Toyota’s performance-focused lineup of Gazoo Racing–branded sports cars designed for enhanced driving dynamics and motorsport-inspired styling.
-
C.
Series G
chosen
Series G is a set of ITU-T telecommunications standards that primarily define characteristics and requirements for transmission systems and media.
-
D.
Q series
The Q series is Audi’s lineup of luxury crossover and sport utility vehicles, ranging from compact to full-size models.
-
E.
GPT series
The GPT series is a family of large language models developed by OpenAI that generate human-like text and perform a wide range of natural language tasks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:14 a.m.