Triple
T21218475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego Cocca |
E522898
|
entity |
| Predicate | managedClub |
P3239
|
FINISHED |
| Object | Club Tijuana |
—
|
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 Tijuana | Statement: [Diego Cocca, managedClub, Club Tijuana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Club Tijuana Context triple: [Diego Cocca, managedClub, Club Tijuana]
-
A.
Club Tijuana
chosen
Club Tijuana is a professional Mexican football (soccer) club based in Tijuana, Baja California, known for competing in Liga MX.
-
B.
Deportivo Toluca F.C.
Deportivo Toluca F.C. is a professional Mexican football club based in Toluca, renowned as one of Liga MX’s most successful and historic teams.
-
C.
FC Juárez
FC Juárez is a professional Mexican football club based in Ciudad Juárez that competes in Liga MX.
-
D.
C.F. Monterrey
C.F. Monterrey is a professional Mexican football club based in Monterrey, Nuevo León, known for its success in Liga MX and CONCACAF competitions.
-
E.
Xolos
Xolos is the popular nickname of Club Tijuana, a professional Mexican football team based in Tijuana, Baja California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:42 p.m.