Triple
T31984892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias Mayer |
E816693
|
entity |
| Predicate | hasWorldCupPodiumsIn |
P92355
|
FINISHED |
| Object | downhill |
—
|
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: downhill | Statement: [Matthias Mayer, hasWorldCupPodiumsIn, downhill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldCupPodiumsIn Context triple: [Matthias Mayer, hasWorldCupPodiumsIn, downhill]
-
A.
achievedPodiumIn
chosen
Indicates that an entity finished in a top-ranked (podium) position in a specified competition or event.
-
B.
hasWorldCupVictoriesIn
Indicates that an entity has achieved victories in the FIFA World Cup during the specified years or editions.
-
C.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
D.
hasWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
E.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 1, 2026, 12:12 a.m.