Triple
T3210471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW Z4 |
E67265
|
entity |
| Predicate | firstGenerationCode |
P17321
|
FINISHED |
| Object | E85 |
E337838
|
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: E85 | Statement: [BMW Z4, firstGenerationCode, E85]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E85 Context triple: [BMW Z4, firstGenerationCode, E85]
-
A.
E85
chosen
E85 is the internal BMW designation for the first-generation BMW Z4 roadster produced in the early to mid-2000s.
-
B.
Gasoline
Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
-
C.
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.
-
D.
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.
-
E.
RP-1
RP-1 is a highly refined kerosene-based rocket propellant commonly used in liquid-fueled launch vehicles.
- 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_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_69b2771204e0819086ae2838a368589a |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.