Triple
T36716343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Retton |
E906920
|
entity |
| Predicate | locationOfAchievement |
P90516
|
FINISHED |
| Object | Los Angeles |
E715
|
NE 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: Los Angeles | Statement: [Mary Lou Retton, locationOfAchievement, Los Angeles]
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 (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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3dfac555388190a2d7df37c0c2db2c |
completed | June 26, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.