Triple
T25607089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verena Bentele |
E641941
|
entity |
| Predicate | paralympicGoldMedals |
P44415
|
FINISHED |
| Object | multiple |
—
|
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 | Statement: [Verena Bentele, paralympicGoldMedals, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paralympicGoldMedals Context triple: [Verena Bentele, paralympicGoldMedals, multiple]
-
A.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
-
B.
athleticsGoldMedals
Indicates that the subject has won one or more gold medals in athletics competitions.
-
C.
hasWonParalympicMedal
chosen
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
-
D.
paralympics
Indicates that an entity is associated with, participates in, or is otherwise involved in the Paralympic Games or Paralympic movement.
-
E.
paralympicCounterpartOf
Indicates that one entity is the corresponding Paralympic version or equivalent of another entity, typically an Olympic event, sport, or competition.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9e00c9c81909d2372a9ebc8a51f |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 4:39 p.m.