Triple
T4508586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sky Red Line |
E101993
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Daewoo G2X |
E96535
|
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: Daewoo G2X | Statement: [Sky Red Line, relatedTo, Daewoo G2X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daewoo G2X Context triple: [Sky Red Line, relatedTo, Daewoo G2X]
-
A.
Daewoo G2X
chosen
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.
-
B.
Daewoo
Daewoo is a South Korean automotive brand known for producing a range of affordable passenger vehicles and later becoming part of General Motors' global operations.
-
C.
TX-20
TX-20 is a United States congressional district centered on San Antonio, Texas, known for its strong Democratic lean and significant Hispanic population.
-
D.
Samsung Galaxy Pocket
The Samsung Galaxy Pocket is a compact, entry-level Android smartphone designed for budget-conscious users and basic mobile tasks.
-
E.
Nokia 6230
The Nokia 6230 is a mid-2000s candybar mobile phone known for its compact design, color display, VGA camera, and multimedia capabilities, running on Nokia's Series 40 platform.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f7c1bd08190bc7b7028a512a466 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.