Triple
T29113039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephan Eberharter |
E736963
|
entity |
| Predicate | worldChampionshipsGoldEvent |
P89163
|
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: [Stephan Eberharter, worldChampionshipsGoldEvent, giant slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipsGoldEvent Context triple: [Stephan Eberharter, worldChampionshipsGoldEvent, giant slalom]
-
A.
worldChampionshipsGoldMedal
Indicates that the subject has won a gold medal at a world championship competition.
-
B.
WorldChampionshipsEvent
chosen
Indicates an event that is part of, or constitutes, a world-level championship competition.
-
C.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
D.
WorldChampionshipsGoldCity
Indicates the city where an entity won a gold medal at the World Championships.
-
E.
worldChampionshipsOrganiser
Indicates that the subject is responsible for organizing or managing world championship events for the object.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 28, 2026, 11:20 a.m.