Triple
T21631642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wheelchair Curling Championship |
E533843
|
entity |
| Predicate | sheetWidth |
P19786
|
FINISHED |
| Object | approximately 4.75 metres |
—
|
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: approximately 4.75 metres | Statement: [World Wheelchair Curling Championship, sheetWidth, approximately 4.75 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sheetWidth Context triple: [World Wheelchair Curling Championship, sheetWidth, approximately 4.75 metres]
-
A.
widthInColumns
Indicates the number of column units that an element or item spans within a grid or layout.
-
B.
numberOfSheets
Indicates the quantity of individual sheets associated with or contained in an entity.
-
C.
typicalWidth
chosen
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
D.
nutWidthInches
Indicates the width of a nut measured in inches.
-
E.
printWidth
Indicates the width setting or constraint used when formatting or printing content, such as text or code.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.