Triple
T14837496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linas Kleiza |
E348868
|
entity |
| Predicate | medalWon |
P44482
|
FINISHED |
| Object | bronze medal at EuroBasket 2007 |
—
|
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: bronze medal at EuroBasket 2007 | Statement: [Linas Kleiza, medalWon, bronze medal at EuroBasket 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalWon Context triple: [Linas Kleiza, medalWon, bronze medal at EuroBasket 2007]
-
A.
wonMedalAt
chosen
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
C.
medalSport
Indicates that a medal was awarded in a particular sport or sporting discipline.
-
D.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
OlympicMedal
Indicates that an entity has been awarded an Olympic medal in a specific event or discipline.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:52 a.m.