Triple
T27658926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix of Portland |
E697066
|
entity |
| Predicate | formerMotorsportSeries |
P193705
|
FINISHED |
| Object | CART |
—
|
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: CART | Statement: [Grand Prix of Portland, formerMotorsportSeries, CART]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMotorsportSeries Context triple: [Grand Prix of Portland, formerMotorsportSeries, CART]
-
A.
racingSeries
Indicates that one entity is a racing series in which the other entity (such as a race, team, or driver) participates or to which it belongs.
-
B.
racingSeriesHomologatedFor
Indicates that a racing series has officially approved or certified something (typically a vehicle or component) as eligible to compete in that series.
-
C.
motorsportReturnFor
Indicates a relationship where something is received, gained, or obtained as a result of participation in or association with a motorsport activity or event.
-
D.
motorsportEvent
Indicates a relationship where an event is characterized as a motorsport competition or race involving motorized vehicles.
-
E.
motorsportClass
Indicates that one entity is classified as a specific motorsport category or division associated with another entity.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 27, 2026, 2:35 p.m.