Triple
T22097646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Touring Car Championship |
E546079
|
entity |
| Predicate | gridFormat |
P146979
|
FINISHED |
| Object | three-race format with reversed grid for race three |
—
|
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: three-race format with reversed grid for race three | Statement: [British Touring Car Championship, gridFormat, three-race format with reversed grid for race three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gridFormat Context triple: [British Touring Car Championship, gridFormat, three-race format with reversed grid for race three]
-
A.
gridType
Indicates the specific structural or organizational pattern of a grid used to arrange or reference elements.
-
B.
coordinateFormat
Indicates the specific representation or notation used to express a set of coordinates.
-
C.
gridName
Indicates the name or identifier assigned to a particular grid within a system or dataset.
-
D.
usesGridLetters
Indicates that one entity employs or incorporates the letters or coordinates of a grid in relation to another entity or context.
-
E.
gridSize
Indicates the dimensions or scale of a grid used to structure or partition a space or dataset.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ea00d48190b020aba80dcdbec9 |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.