Triple
T3832113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acura |
E91036
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Infiniti |
E118722
|
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: Infiniti | Statement: [Acura, competitor, Infiniti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infiniti Context triple: [Acura, competitor, Infiniti]
-
A.
Infiniti
chosen
Infiniti is Nissan's luxury vehicle division, known for producing premium performance-oriented cars and SUVs.
-
B.
Lexus
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.
-
C.
Nissan
Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
-
D.
Acura
Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
-
E.
Infiniti QX60
The Infiniti QX60 is a midsize luxury crossover SUV known for its three-row seating, upscale features, and family-oriented comfort.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512259d048190be25add7e38a0326 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.