Triple
T27464289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulsanne Straight |
E693133
|
entity |
| Predicate | notableCarPerformance |
P12592
|
FINISHED |
| Object | Porsche 917 long-tail exceeding 380 km/h |
—
|
NE NERFINISHED |
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: Porsche 917 long-tail exceeding 380 km/h | Statement: [Mulsanne Straight, notableCarPerformance, Porsche 917 long-tail exceeding 380 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCarPerformance Context triple: [Mulsanne Straight, notableCarPerformance, Porsche 917 long-tail exceeding 380 km/h]
-
A.
notableCar
Indicates that the subject is a car recognized for its significance, prominence, or special interest (e.g., historically, culturally, or technically).
-
B.
notableHighPerformanceVariant
chosen
Indicates that an entity is recognized as a particularly high-performance version or variant of another entity.
-
C.
fastestLapCar
Indicates that the subject car achieved the fastest lap time in a given race or session compared to all other cars.
-
D.
championshipWinningCar
Indicates that a car is the specific vehicle that won a particular championship.
-
E.
poweredCar
Indicates that one entity is a car whose operation or movement is enabled or driven by another entity as its power source.
- F. None of above.
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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: April 27, 2026, 12:51 p.m.