Triple
T829694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn Sky |
E17935
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Daewoo G2X
The Daewoo G2X is a South Korean two-seat roadster sports car based on GM’s Kappa platform, closely related to the Saturn Sky and Opel GT.
|
E96535
|
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: Daewoo G2X | Statement: [Saturn Sky, relatedTo, Daewoo G2X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daewoo G2X Context triple: [Saturn Sky, relatedTo, Daewoo G2X]
-
A.
G.826x
G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
-
B.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
-
C.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
D.
LG
LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
-
E.
Pixel Qi
Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
- 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: Daewoo G2X Triple: [Saturn Sky, relatedTo, Daewoo G2X]
Generated description
The Daewoo G2X is a South Korean two-seat roadster sports car based on GM’s Kappa platform, closely related to the Saturn Sky and Opel GT.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daewoo G2X Target entity description: The Daewoo G2X is a South Korean two-seat roadster sports car based on GM’s Kappa platform, closely related to the Saturn Sky and Opel GT.
-
A.
G.826x
G.826x is an ITU-T standards series that defines methods and requirements for packet-based frequency and time synchronization in telecommunications networks.
-
B.
LG Electronics
LG Electronics is a South Korean multinational electronics company known for producing a wide range of consumer electronics, home appliances, and mobile devices.
-
C.
Bravia
Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
-
D.
LG
LG is the post-nominal abbreviation used by members of the prestigious British chivalric Order of the Garter.
-
E.
Pixel Qi
Pixel Qi was a display technology company known for developing low-power, sunlight-readable LCD screens that combined the benefits of e-ink and traditional color displays.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d97a3b08190b7a5c635d74bcd47 |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a783814b188190b449cd191667f1a1 |
completed | March 4, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7840593988190b6882b456f0eea41 |
completed | March 4, 2026, 12:59 a.m. |
Created at: March 1, 2026, 7:38 p.m.