Triple
T8541648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenya national football team |
E202209
|
entity |
| Predicate | hasNationalLevel |
P78186
|
FINISHED |
| Object | senior |
—
|
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: senior | Statement: [Kenya national football team, hasNationalLevel, senior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalLevel Context triple: [Kenya national football team, hasNationalLevel, senior]
-
A.
hasNationalStatus
Indicates that an entity possesses an official national-level designation, recognition, or status within a country.
-
B.
heldNationalsOf
Indicates that one entity detained or kept in custody individuals who are nationals (citizens) of another entity.
-
C.
representedNationalTeamLevel
chosen
Indicates that an entity has played for or been a member of a national team at a specified level (e.g., senior, U21, youth).
-
D.
hasNationalAchievements
Indicates that an entity possesses notable accomplishments or recognitions at the national level.
-
E.
clubOrNational
Indicates that the relationship or action involves either a club team or a national team, distinguishing between those two types of affiliations.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:18 p.m.