Triple
T29126814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathrin Zettel |
E738250
|
entity |
| Predicate | worldChampionshipMedalInDiscipline |
P189721
|
FINISHED |
| Object | giant slalom |
—
|
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: giant slalom | Statement: [Kathrin Zettel, worldChampionshipMedalInDiscipline, giant slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipMedalInDiscipline Context triple: [Kathrin Zettel, worldChampionshipMedalInDiscipline, giant slalom]
-
A.
WorldChampionshipsDiscipline
Indicates the specific discipline or event category in which a world championship competition is held or a title is contested.
-
B.
worldCupWinsInDiscipline
Indicates the number of times an entity has won a World Cup in a specific discipline or category.
-
C.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
D.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
E.
worldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) given to an entity in the context of a World Cup competition.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: April 28, 2026, 11:29 a.m.