Triple
T22780325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpensia Cross-Country Centre |
E563818
|
entity |
| Predicate | hasMaximumCourseLength |
P82629
|
FINISHED |
| Object | 3.75 kilometres |
—
|
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: 3.75 kilometres | Statement: [Alpensia Cross-Country Centre, hasMaximumCourseLength, 3.75 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaximumCourseLength Context triple: [Alpensia Cross-Country Centre, hasMaximumCourseLength, 3.75 kilometres]
-
A.
hasCourseLength
chosen
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
B.
hasCourseLengthUnit
Indicates the unit of measurement used to express the length or duration of a course.
-
C.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
D.
hasMaximumGrade
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
E.
hasCapstoneLength
Indicates the length or duration associated with a capstone project or capstone component of something.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.