Triple
T3210468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW Z4 |
E67265
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
E86
The E86 is the internal BMW designation for the second-generation Z4 Coupé, a compact luxury sports car produced in the mid-2000s.
|
E67265
|
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: E86 | Statement: [BMW Z4, generation, E86]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E86 Context triple: [BMW Z4, generation, E86]
-
A.
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.
-
B.
BMW 4 Series
The BMW 4 Series is a line of compact executive coupés and convertibles known for its sporty performance, premium features, and distinctive styling within BMW’s lineup.
-
C.
BMW Z4
The BMW Z4 is a compact luxury two-seat roadster known for its sporty performance, rear-wheel-drive dynamics, and distinctive styling.
-
D.
BMW 5 Series
The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
-
E.
BMW 7 Series
The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
- 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: E86 Triple: [BMW Z4, generation, E86]
Generated description
The E86 is the internal BMW designation for the second-generation Z4 Coupé, a compact luxury sports car produced in the mid-2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E86 Target entity description: The E86 is the internal BMW designation for the second-generation Z4 Coupé, a compact luxury sports car produced in the mid-2000s.
-
A.
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.
-
B.
BMW 4 Series
The BMW 4 Series is a line of compact executive coupés and convertibles known for its sporty performance, premium features, and distinctive styling within BMW’s lineup.
-
C.
BMW Z4
chosen
The BMW Z4 is a compact luxury two-seat roadster known for its sporty performance, rear-wheel-drive dynamics, and distinctive styling.
-
D.
BMW 5 Series
The BMW 5 Series is a line of executive mid-size luxury cars known for combining performance, comfort, and advanced technology.
-
E.
BMW 7 Series
The BMW 7 Series is BMW’s flagship full-size luxury sedan line, known for its advanced technology, comfort, and performance.
- F. None of above.
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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab886c48190b72e36d0ac855ffe |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2622d4e988190a8a98a0bc9353e3f |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.