Triple
T6211399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maserati Grecale |
E138877
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | BMW X3 |
E395826
|
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: BMW X3 | Statement: [Maserati Grecale, competitor, BMW X3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW X3 Context triple: [Maserati Grecale, competitor, BMW X3]
-
A.
BMW X3
chosen
The BMW X3 is a compact luxury crossover SUV known for its sporty driving dynamics, premium interior, and advanced technology features.
-
B.
BMW X5
The BMW X5 is a mid-size luxury SUV known for combining strong performance, advanced technology, and upscale comfort in BMW’s X-series lineup.
-
C.
BMW X3 M
The BMW X3 M is a high-performance compact luxury SUV engineered by BMW’s M division, featuring sport-tuned dynamics and powerful engines.
-
D.
BMW X6
The BMW X6 is a mid-size luxury crossover SUV known for its distinctive coupe-like roofline and sporty performance within BMW's lineup.
-
E.
BMW X4
The BMW X4 is a compact luxury crossover SUV with coupe-like styling, positioned as a sportier alternative to the more traditional BMW X3.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0628adccc8190b94f5c2c1d5d03f7 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
Created at: March 22, 2026, 4:21 p.m.