Triple
T16692177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyundai N |
E405620
|
entity |
| Predicate | relatedBrand |
P10460
|
FINISHED |
| Object |
Genesis Magma
Genesis Magma is a high-performance sub-brand of Genesis focused on motorsport-inspired, track-oriented versions of the company’s luxury vehicles.
|
E1229095
|
NE FINISHED |
How this triple was built (4 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: Genesis Magma | Statement: [Hyundai N, relatedBrand, Genesis Magma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genesis Magma Context triple: [Hyundai N, relatedBrand, Genesis Magma]
-
A.
Genisys
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
-
B.
Magma
Magma is a Marvel Comics superheroine and mutant associated with the New Mutants, known for her ability to generate and control volcanic lava and seismic energy.
-
C.
Gigen
Gigen is a village in northern Bulgaria known for its proximity to the archaeological remains of the ancient Roman town of Oescus on the Danube River.
-
D.
Magma Red
Magma Red is a vibrant red color variant of Sony's DualShock 4 PlayStation 4 controller.
-
E.
Mina-Gen
Mina-Gen is a language known as Gen, spoken primarily in parts of Togo and Benin in West Africa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Genesis Magma Triple: [Hyundai N, relatedBrand, Genesis Magma]
Generated description
Genesis Magma is a high-performance sub-brand of Genesis focused on motorsport-inspired, track-oriented versions of the company’s luxury vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genesis Magma Target entity description: Genesis Magma is a high-performance sub-brand of Genesis focused on motorsport-inspired, track-oriented versions of the company’s luxury vehicles.
-
A.
Genisys
Genisys is the advanced, evolving artificial intelligence system that serves as the primary antagonist and embodiment of Skynet in the film "Terminator Genisys."
-
B.
Magma
Magma is a Marvel Comics superheroine and mutant associated with the New Mutants, known for her ability to generate and control volcanic lava and seismic energy.
-
C.
Gigen
Gigen is a village in northern Bulgaria known for its proximity to the archaeological remains of the ancient Roman town of Oescus on the Danube River.
-
D.
Magma Red
Magma Red is a vibrant red color variant of Sony's DualShock 4 PlayStation 4 controller.
-
E.
Mina-Gen
Mina-Gen is a language known as Gen, spoken primarily in parts of Togo and Benin in West Africa.
- F. None of above. chosen
Provenance (5 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a0092244d788190b24f56f0b166dc20 |
completed | May 10, 2026, 2:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00929d803881908d0bb6c566cd112a |
completed | May 10, 2026, 2:13 p.m. |
Created at: April 10, 2026, 5:19 a.m.