Triple
T35629972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia national athletics team |
E1029555
|
entity |
| Predicate | typicalDisciplines |
P25609
|
FINISHED |
| Object | sprints |
—
|
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: sprints | Statement: [Russia national athletics team, typicalDisciplines, sprints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDisciplines Context triple: [Russia national athletics team, typicalDisciplines, sprints]
-
A.
disciplineMayInclude
Indicates that a given discipline can encompass, involve, or contain the specified component, activity, or subfield as part of its scope.
-
B.
featuredDiscipline
Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
-
C.
governingDiscipline
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
D.
disciplineCombination
Indicates a relationship where multiple disciplines are combined or integrated into a unified or joint context.
-
E.
typeDiscipline
chosen
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.