Triple
T33260847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro Porteño vs Olimpia |
E851507
|
entity |
| Predicate | hasClubNicknameTeam1 |
P5076
|
FINISHED |
| Object | Ciclón de Barrio Obrero |
—
|
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: Ciclón de Barrio Obrero | Statement: [Cerro Porteño vs Olimpia, hasClubNicknameTeam1, Ciclón de Barrio Obrero]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubNicknameTeam1 Context triple: [Cerro Porteño vs Olimpia, hasClubNicknameTeam1, Ciclón de Barrio Obrero]
-
A.
alternativeNameOfClub
Indicates that one club is an alternative or secondary name/designation for another club.
-
B.
teamNickname
chosen
Indicates the commonly used informal or symbolic name by which a team is known.
-
C.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
nicknameForClubFromCity
Indicates that a given nickname is used to refer to a sports club that is based in a particular city.
-
E.
teamNicknamedAfter
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
- 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_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 1, 2026, 1:31 a.m.