Triple
T15840225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Malibu (ninth generation) |
E384081
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object | LS |
E154001
|
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: LS | Statement: [Chevrolet Malibu (ninth generation), trimLevel, LS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LS Context triple: [Chevrolet Malibu (ninth generation), trimLevel, LS]
-
A.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
B.
LS
chosen
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
C.
LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
-
D.
SL
SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
-
E.
SL
The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e69360819091ea0556bd66d785 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13c931481908ed9fd10fddd867c |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.