Triple
T24608802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City derby |
E609058
|
entity |
| Predicate | hasClubNickname |
P6622
|
FINISHED |
| Object | Club América – Las Águilas |
—
|
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 América – Las Águilas | Statement: [Mexico City derby, hasClubNickname, Club América – Las Águilas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClubNickname Context triple: [Mexico City derby, hasClubNickname, Club América – Las Águilas]
-
A.
hasClubName
Indicates that an entity is associated with or identified by a specific club name.
-
B.
nicknameForClubFromCity
Indicates that a given nickname is used to refer to a sports club that is based in a particular city.
-
C.
notableTeamNickname
chosen
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
D.
supporterGroupNickname
Indicates that a particular nickname is used to refer to a group of supporters associated with an entity.
-
E.
alternativeNameOfClub
Indicates that one club is an alternative or secondary name/designation for another club.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.