Triple
T998867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissan |
E21556
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object |
Nissan Maxima
The Nissan Maxima is a mid-size to full-size sedan known for combining sporty performance with upscale features in Nissan’s lineup.
|
E126340
|
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: Nissan Maxima | Statement: [Nissan, notableModel, Nissan Maxima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan Maxima Context triple: [Nissan, notableModel, Nissan Maxima]
-
A.
Nissan Altima
The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
-
B.
Nissan Sentra
The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
-
C.
Nissan Rogue
The Nissan Rogue is a compact crossover SUV known for its practicality, fuel efficiency, and family-friendly features.
-
D.
Nissan 370Z
The Nissan 370Z is a two-seat sports car known for its powerful V6 engine, rear-wheel-drive layout, and role as the modern successor to Nissan’s iconic Z-series performance coupes.
-
E.
Nissan
Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
- 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: Nissan Maxima Triple: [Nissan, notableModel, Nissan Maxima]
Generated description
The Nissan Maxima is a mid-size to full-size sedan known for combining sporty performance with upscale features in Nissan’s lineup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nissan Maxima Target entity description: The Nissan Maxima is a mid-size to full-size sedan known for combining sporty performance with upscale features in Nissan’s lineup.
-
A.
Nissan Altima
The Nissan Altima is a popular mid-size sedan known for its balance of comfort, fuel efficiency, and everyday practicality.
-
B.
Nissan Sentra
The Nissan Sentra is a compact sedan known for its affordability, fuel efficiency, and practicality as a popular everyday commuter car.
-
C.
Nissan Rogue
The Nissan Rogue is a compact crossover SUV known for its practicality, fuel efficiency, and family-friendly features.
-
D.
Nissan 370Z
The Nissan 370Z is a two-seat sports car known for its powerful V6 engine, rear-wheel-drive layout, and role as the modern successor to Nissan’s iconic Z-series performance coupes.
-
E.
Nissan
Nissan is a major Japanese automobile manufacturer known for producing a wide range of passenger cars, trucks, and electric vehicles sold globally.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4e2ad9c81908a0f488d3f261fc3 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c0bda208190b10b238a30466ea6 |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4d4b438881908bacf9d3030e0cc3 |
completed | March 7, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4da2ac6481909b9a10a2ee37de18 |
completed | March 7, 2026, 4:09 p.m. |
Created at: March 1, 2026, 7:41 p.m.