Triple
T20316789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Tabárez |
E510399
|
entity |
| Predicate | endTimeAsUruguayCoach |
P139630
|
FINISHED |
| Object | 2021 |
—
|
LITERAL FINISHED |
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: 2021 | Statement: [Óscar Tabárez, endTimeAsUruguayCoach, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsUruguayCoach Context triple: [Óscar Tabárez, endTimeAsUruguayCoach, 2021]
-
A.
endTimeAs49ersHeadCoach
Indicates the time at which an individual’s tenure as head coach of the 49ers concluded.
-
B.
endTime (Governor of Buenos Aires Province)
Indicates the point in time at which an individual’s tenure as Governor of Buenos Aires Province concludes.
-
C.
endTime (President of Argentina)
Indicates the point in time at which a person’s tenure as President of Argentina concludes.
-
D.
endTime (Vice President of Argentina)
Indicates the point in time at which a person’s tenure as Vice President of Argentina concludes.
-
E.
copaAmerica2015FinalResult
Indicates the outcome or final score of the 2015 Copa América tournament’s championship match.
- F. None of above. chosen
Provenance (4 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67787af188190bc32a3049c9c5b39 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 11:19 a.m.