Triple
T30757652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German national alpine skiing team |
E783133
|
entity |
| Predicate | hasNotableFormerAthlete |
P87635
|
FINISHED |
| Object | Markus Wasmeier |
—
|
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: Markus Wasmeier | Statement: [German national alpine skiing team, hasNotableFormerAthlete, Markus Wasmeier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFormerAthlete Context triple: [German national alpine skiing team, hasNotableFormerAthlete, Markus Wasmeier]
-
A.
hasNotableAthleteTrained
Indicates that one entity (typically a coach, club, or institution) has trained a particular athlete who is considered notable or distinguished.
-
B.
notableAthlete
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
C.
formerAthlete
chosen
Indicates that a person previously had the role or status of an athlete but no longer does.
-
D.
notableAthleteFrom
Indicates that an athlete is notably associated with or originates from a particular place or region.
-
E.
notableFormerChampion
Indicates that an entity was once a champion of something and is recognized as particularly distinguished or prominent in that former champion role.
- 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_69f224b047f48190b4f5efeb7ee97b37 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
Created at: April 29, 2026, 8:39 p.m.