Triple
T33260860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Porteño vs Olimpia |
E851507
|
entity |
| Predicate | hasTeam2FullName |
P8313
|
FINISHED |
| Object | Club Olimpia |
—
|
NE NERFINISHED |
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: Club Olimpia | Statement: [Cerro Porteño vs Olimpia, hasTeam2FullName, Club Olimpia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeam2FullName Context triple: [Cerro Porteño vs Olimpia, hasTeam2FullName, Club Olimpia]
-
A.
stateTeam2
Indicates that a second team is associated with, represents, or belongs to a particular state or region.
-
B.
regionTeam2
Indicates that a second team or group is associated with, belongs to, or operates within a particular region.
-
C.
team2FullName
chosen
Indicates the complete official name of the second team involved in a context or comparison.
-
D.
originalTeam2Name
Indicates the name of the second team as it was originally designated or recorded.
-
E.
locationTeam2Home
Indicates that the specified location serves as the home venue or home ground for the second team involved in the context.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 1, 2026, 1:31 a.m.