Triple
T28768766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renate Götschl |
E726349
|
entity |
| Predicate | numberOfWorldCupDownhillWins |
P98947
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Renate Götschl, numberOfWorldCupDownhillWins, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldCupDownhillWins Context triple: [Renate Götschl, numberOfWorldCupDownhillWins, 24]
-
A.
freestyleSkiingGoldMedalist
Indicates that the subject has won a gold medal in a freestyle skiing event.
-
B.
goldMedalistInWomen'sGiantSlalom
Indicates that someone is the winner of the gold medal in the women's giant slalom event in a specific competition or year.
-
C.
worldCupWinsInDiscipline
chosen
Indicates the number of times an entity has won a World Cup in a specific discipline or category.
-
D.
skiJumpingIndividualLargeHillGoldMedalistNation
Indicates the nation whose athlete won the gold medal in the individual large hill ski jumping event.
-
E.
numberOfIditarodWins
Indicates the number of times an entity has won the Iditarod race.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
Created at: April 28, 2026, 6:14 a.m.