Triple
T29126816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathrin Zettel |
E738250
|
entity |
| Predicate | worldChampionshipMedalAtEvent |
P190048
|
FINISHED |
| Object | FIS Alpine World Ski Championships 2011 |
—
|
NE NERFINISHED |
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: FIS Alpine World Ski Championships 2011 | Statement: [Kathrin Zettel, worldChampionshipMedalAtEvent, FIS Alpine World Ski Championships 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipMedalAtEvent Context triple: [Kathrin Zettel, worldChampionshipMedalAtEvent, FIS Alpine World Ski Championships 2011]
-
A.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
B.
worldChampionshipMedalInDiscipline
Indicates that an entity has won a medal in a specific discipline at a world championship event.
-
C.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
-
D.
worldChampionshipBronzeMedals
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
E.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
- 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_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: April 28, 2026, 11:29 a.m.