Triple
T12525493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Aktobe |
E299426
|
entity |
| Predicate | hasWonNationalTitles |
P99897
|
FINISHED |
| Object | multiple Kazakhstan Premier League titles |
—
|
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: multiple Kazakhstan Premier League titles | Statement: [FC Aktobe, hasWonNationalTitles, multiple Kazakhstan Premier League titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonNationalTitles Context triple: [FC Aktobe, hasWonNationalTitles, multiple Kazakhstan Premier League titles]
-
A.
hasClaimedNationalTitlesInEra
Indicates that an entity has won or been awarded national titles during a specified historical period or era.
-
B.
hasWonMultipleChampionships
chosen
Indicates that the subject has secured championship titles on more than one separate occasion.
-
C.
hasWonCupTitles
Indicates that an entity has achieved victory in one or more cup-style competitions, resulting in official cup titles.
-
D.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.