Triple
T17369383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Estudiantes de La Plata |
E422269
|
entity |
| Predicate | CopaInteramericanaTitles |
P41022
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Club Estudiantes de La Plata, CopaInteramericanaTitles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CopaInteramericanaTitles Context triple: [Club Estudiantes de La Plata, CopaInteramericanaTitles, 2]
-
A.
wonCopaInteramericana
chosen
Indicates that one entity (typically a football club) has won the Copa Interamericana competition.
-
B.
CONMEBOLUEFACupOfChampionsTitles
Indicates the number of CONMEBOL–UEFA Cup of Champions titles an entity has won.
-
C.
CONMEBOLUEFACupOfChampionsTitleYear
Indicates the specific year in which an entity won the CONMEBOL–UEFA Cup of Champions title.
-
D.
sharedMostCopaAmericaTitlesWith
Indicates that two entities hold the highest and equal number of Copa América titles compared to all other entities.
-
E.
CONCACAFChampionsCupTitles
Indicates the number of CONCACAF Champions Cup titles an entity has won.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6842388190940235198fa50041 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.