Triple
T3210467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW Z4 |
E67265
|
entity |
| Predicate | generation |
P4860
|
FINISHED |
| Object |
E85
E85 is the internal BMW designation for the first-generation BMW Z4 roadster produced in the early to mid-2000s.
|
E337838
|
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: E85 | Statement: [BMW Z4, generation, E85]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E85 Context triple: [BMW Z4, generation, E85]
-
A.
Gasoline
Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
-
B.
JP-7
JP-7 is a specialized high-flashpoint jet fuel developed for sustained use in extreme temperatures and speeds, most notably in high-altitude reconnaissance aircraft.
-
C.
Lefuel
Lefuel is a French surname most notably associated with Hector Lefuel, a 19th-century architect known for his work on the Louvre in Paris.
-
D.
RP-1
RP-1 is a highly refined kerosene-based rocket propellant commonly used in liquid-fueled launch vehicles.
-
E.
Fuel TV
Fuel TV was a U.S. cable and satellite television channel focused primarily on extreme sports and later broader sports programming before being rebranded as Fox Sports 2.
- 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: E85 Triple: [BMW Z4, generation, E85]
Generated description
E85 is the internal BMW designation for the first-generation BMW Z4 roadster produced in the early to mid-2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E85 Target entity description: E85 is the internal BMW designation for the first-generation BMW Z4 roadster produced in the early to mid-2000s.
-
A.
Gasoline
Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
-
B.
JP-7
JP-7 is a specialized high-flashpoint jet fuel developed for sustained use in extreme temperatures and speeds, most notably in high-altitude reconnaissance aircraft.
-
C.
Lefuel
Lefuel is a French surname most notably associated with Hector Lefuel, a 19th-century architect known for his work on the Louvre in Paris.
-
D.
RP-1
RP-1 is a highly refined kerosene-based rocket propellant commonly used in liquid-fueled launch vehicles.
-
E.
Fuel TV
Fuel TV was a U.S. cable and satellite television channel focused primarily on extreme sports and later broader sports programming before being rebranded as Fox Sports 2.
- 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_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.