Triple
T16303172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazda 787B |
E395839
|
entity |
| Predicate | soundReputation |
P122608
|
FINISHED |
| Object | one of the loudest Le Mans cars |
—
|
LITERAL 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: one of the loudest Le Mans cars | Statement: [Mazda 787B, soundReputation, one of the loudest Le Mans cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundReputation Context triple: [Mazda 787B, soundReputation, one of the loudest Le Mans cars]
-
A.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
B.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
C.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
D.
collectionReputation
Indicates the perceived quality, trustworthiness, or status associated with a particular collection based on others’ evaluations or interactions.
-
E.
terrainReputation
Indicates how an entity is regarded or perceived based on its performance, behavior, or influence within a particular type of terrain or environmental setting.
- F. None of above. chosen
Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e35157481909e5604b7dae7a2a2 |
completed | April 17, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.