Triple
T8176659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greek A2 Basket League |
E190951
|
entity |
| Predicate | hierarchicalLevelInGreekBasketball |
P43092
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Greek A2 Basket League, hierarchicalLevelInGreekBasketball, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hierarchicalLevelInGreekBasketball Context triple: [Greek A2 Basket League, hierarchicalLevelInGreekBasketball, 2]
-
A.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
B.
levelInUEFASystem
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
-
C.
competitionHierarchyLevel
chosen
Indicates the relative rank or tier of a competition within an overall competitive structure or hierarchy.
-
D.
LegaBasketSerieAChampion
Indicates that an entity is the team that won the championship title of the Lega Basket Serie A in a given season.
-
E.
levelInNationalTeamStructure
Indicates the hierarchical tier or rank that an entity occupies within a national team’s organizational structure.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4aba0dd88190828080d0d89612eb |
completed | March 31, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:40 p.m.