Triple
T3182059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW 7 Series |
E66610
|
entity |
| Predicate | hasGeneration |
P455
|
FINISHED |
| Object | BMW E65 |
E66610
|
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 E65 | Statement: [BMW 7 Series, hasGeneration, BMW E65]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMW E65 Context triple: [BMW 7 Series, hasGeneration, BMW E65]
-
A.
BMW 5 Series
The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
-
B.
E65
E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
-
C.
BMW 7 Series
chosen
The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
-
D.
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.
-
E.
BMW Z4
The BMW Z4 is a compact luxury two-seat roadster known for its sporty performance, rear-wheel-drive dynamics, and distinctive 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bd07888190b680eace8290d821 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2620b62f48190905812d0c0e9f85c |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:06 p.m.