Triple
T5256945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infiniti |
E118722
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Lexus |
E167735
|
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: Lexus | Statement: [Infiniti, competesWith, Lexus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexus Context triple: [Infiniti, competesWith, Lexus]
-
A.
Lexus
chosen
Lexus is the luxury vehicle division of the Japanese automaker Toyota, known for its premium sedans, SUVs, and hybrids that emphasize comfort, reliability, and advanced technology.
-
B.
Infiniti
Infiniti is Nissan's luxury vehicle division, known for producing premium performance-oriented cars and SUVs.
-
C.
Lexus LS
The Lexus LS is a flagship full-size luxury sedan from Toyota’s Lexus brand, known for its refinement, comfort, and reliability.
-
D.
Lexus ES
The Lexus ES is a midsize luxury sedan known for its comfort, refinement, and reliability, positioned as a premium yet value-oriented alternative to German executive cars.
-
E.
Acura
Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba64fe48190943e7d49f6e1449a |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7ded18819094f86cfff458953c |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.