Triple
T16446447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Autorama |
E399441
|
entity |
| Predicate | AutoramaExtremeFocus |
P122820
|
FINISHED |
| Object | traditional hot rods |
—
|
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: traditional hot rods | Statement: [Detroit Autorama, AutoramaExtremeFocus, traditional hot rods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AutoramaExtremeFocus Context triple: [Detroit Autorama, AutoramaExtremeFocus, traditional hot rods]
-
A.
Fury 325TopSpeed
Indicates the maximum speed that the Fury 325 can reach under normal operating conditions.
-
B.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
C.
gForce
Indicates the gravitational or inertial acceleration experienced by an object, typically expressed as a multiple of standard gravity.
-
D.
Tornado ADV
Indicates that the action or event occurs in the manner of, or under conditions characterized by, a tornado (e.g., violently, turbulently, or with tornado-like intensity).
-
E.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.