Triple
T13306273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet Union men’s national gymnastics team |
E316942
|
entity |
| Predicate | OlympicTeamBronzeMedals |
P53827
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Soviet Union men’s national gymnastics team, OlympicTeamBronzeMedals, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicTeamBronzeMedals Context triple: [Soviet Union men’s national gymnastics team, OlympicTeamBronzeMedals, none]
-
A.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
B.
totalOlympicBronzeMedals
chosen
Indicates the total number of Olympic bronze medals that an entity has earned or been awarded.
-
C.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
D.
bronzeMedalistNation
Indicates the nation that received the bronze medal in a given event or competition.
-
E.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:28 p.m.