Triple
T28551168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlies Schild |
E722887
|
entity |
| Predicate | worldChampionshipsParticipations |
P18048
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Marlies Schild, worldChampionshipsParticipations, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldChampionshipsParticipations Context triple: [Marlies Schild, worldChampionshipsParticipations, multiple]
-
A.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
B.
WorldChampionshipAppearances
chosen
Indicates the number of times an entity has participated in a world championship competition.
-
C.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
-
D.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
E.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 3:42 a.m.