Triple
T25607090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verena Bentele |
E641941
|
entity |
| Predicate | paralympicTotalMedals |
P159776
|
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, paralympicTotalMedals, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paralympicTotalMedals Context triple: [Verena Bentele, paralympicTotalMedals, multiple]
-
A.
totalOlympicMedals
Indicates the total number of Olympic medals an entity has earned across all Games and events.
-
B.
paralympics
Indicates that an entity is associated with, participates in, or is otherwise involved in the Paralympic Games or Paralympic movement.
-
C.
hasWonParalympicMedal
Indicates that an entity has earned at least one medal in a Paralympic Games competition.
-
D.
paralympicCounterpartOf
Indicates that one entity is the corresponding Paralympic version or equivalent of another entity, typically an Olympic event, sport, or competition.
-
E.
paralympicCommittee
Indicates that an entity serves as, is governed by, or is associated with a Paralympic committee responsible for organizing or overseeing Paralympic sports and events.
- F. None of above. chosen
Provenance (4 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_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 4:39 p.m.