Triple
T21631641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Wheelchair Curling Championship |
E533843
|
entity |
| Predicate | sheetLength |
P266
|
FINISHED |
| Object | approximately 45.72 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 45.72 metres | Statement: [World Wheelchair Curling Championship, sheetLength, approximately 45.72 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sheetLength Context triple: [World Wheelchair Curling Championship, sheetLength, approximately 45.72 metres]
-
A.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
B.
platformLength
Indicates that one entity specifies the physical length or extent of a platform associated with another entity.
-
C.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
D.
nutWidthInches
Indicates the width of a nut measured in inches.
-
E.
length
chosen
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
- 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.