Triple
T28551157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlies Schild |
E722887
|
entity |
| Predicate | worldCupSeasonTitleDiscipline |
P181318
|
FINISHED |
| Object | 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: slalom | Statement: [Marlies Schild, worldCupSeasonTitleDiscipline, slalom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldCupSeasonTitleDiscipline Context triple: [Marlies Schild, worldCupSeasonTitleDiscipline, slalom]
-
A.
WorldCupSeasonTitle
Indicates that an entity is the official title or name assigned to a particular FIFA World Cup season or edition.
-
B.
WorldCupDisciplineTitles
Indicates the number or types of discipline-specific titles an entity has won at the World Cup.
-
C.
WorldCupDiscipline
Indicates a disciplinary action (such as a card, suspension, or sanction) imposed on an entity in the context of a FIFA World Cup competition.
-
D.
WorldChampionshipsDiscipline
Indicates the specific discipline or event category in which a world championship competition is held or a title is contested.
-
E.
worldCupWinsInDiscipline
Indicates the number of times an entity has won a World Cup in a specific discipline or category.
- 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 28, 2026, 3:42 a.m.