Triple
T36716343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Retton |
E906920
|
entity |
| Predicate | locationOfAchievement |
—
|
GENERATED |
| Object | Los Angeles |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfAchievement Context triple: [Mary Lou Retton, locationOfAchievement, Los Angeles]
-
A.
placeOfAchievement
chosen
Indicates the location where an entity accomplished or attained a particular achievement or notable success.
-
B.
locationOfAwardedWork
Indicates the place where the work for which an award was given was created, performed, or took place.
-
C.
achievementDefinition
Indicates that one entity specifies or defines the criteria, properties, or structure of an achievement associated with another entity.
-
D.
victoryLocation
Indicates the place or setting where a victory or triumph occurs.
-
E.
associatedAchievement
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
- F. None of above.
Provenance (1 batch)
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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.