Triple
T28984633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBU World Cup |
E734643
|
entity |
| Predicate | hasDisciplineClassification |
P137995
|
FINISHED |
| Object | sprint standings |
—
|
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: sprint standings | Statement: [IBU World Cup, hasDisciplineClassification, sprint standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplineClassification Context triple: [IBU World Cup, hasDisciplineClassification, sprint standings]
-
A.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
B.
includesDisciplineCategory
chosen
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
-
C.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
D.
hasDisplayDiscipline
Indicates that an entity is associated with a particular academic or professional discipline in which its content is displayed or categorized.
-
E.
disciplineMayInclude
Indicates that a given discipline can encompass, involve, or contain the specified component, activity, or subfield as part of its scope.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 28, 2026, 9:13 a.m.