Triple
T29649727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senegal vs Colombia (2018 FIFA World Cup) |
E756101
|
entity |
| Predicate | colombiaCoach |
P2169
|
FINISHED |
| Object | José Pékerman |
—
|
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: José Pékerman | Statement: [Senegal vs Colombia (2018 FIFA World Cup), colombiaCoach, José Pékerman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colombiaCoach Context triple: [Senegal vs Colombia (2018 FIFA World Cup), colombiaCoach, José Pékerman]
-
A.
atleticoMadridCoach
Indicates that one entity serves as the coach or manager of the Atlético Madrid football team.
-
B.
barcelonaCoach
Indicates that one entity serves as the coach or manager of the Barcelona football team during a given period.
-
C.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
D.
commandingOfficerForGranColombia
Indicates that one entity serves as the commanding officer responsible for the military forces of Gran Colombia in relation to the other entity.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66f2329b08190b0ce42740644ecf6 |
completed | May 2, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:51 p.m.