Triple
T3831921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG ZS |
E91031
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Nissan Juke |
E126342
|
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: Nissan Juke | Statement: [MG ZS, competitor, Nissan Juke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nissan Juke Context triple: [MG ZS, competitor, Nissan Juke]
-
A.
Nissan Juke
chosen
The Nissan Juke is a subcompact crossover SUV known for its distinctive, unconventional styling and sporty driving character.
-
B.
Nissan Qashqai
The Nissan Qashqai is a compact crossover SUV popular for its practical size, fuel efficiency, and family-friendly versatility, especially in European markets.
-
C.
Nissan Micra
The Nissan Micra is a long-running subcompact hatchback car known for its small size, fuel efficiency, and popularity in urban markets worldwide.
-
D.
Nissan Rogue
The Nissan Rogue is a compact crossover SUV known for its practicality, fuel efficiency, and family-friendly features.
-
E.
Jeep Compass
The Jeep Compass is a compact crossover SUV known for combining everyday practicality with Jeep’s signature off-road capability and rugged styling.
- 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_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.