Triple
T28551158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlies Schild |
E722887
|
entity |
| Predicate | olympicGamesParticipations |
P67861
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Marlies Schild, olympicGamesParticipations, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicGamesParticipations Context triple: [Marlies Schild, olympicGamesParticipations, 3]
-
A.
OlympicGamesParticipated
Indicates that an entity has taken part as a competitor in one or more editions of the Olympic Games.
-
B.
olympicParticipationType
Indicates the specific role or category of involvement an entity has in the Olympic Games (e.g., as an athlete, team, official, or other participation type).
-
C.
numberOfOlympicAppearances
chosen
Indicates the total count of times an entity has participated in the Olympic Games.
-
D.
associatedOlympicGames
Indicates a relationship where something is linked to, or occurs in connection with, a specific edition of the Olympic Games.
-
E.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
- 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_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 3:42 a.m.