Triple
T20316790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Tabárez |
E510399
|
entity |
| Predicate | previousTenureAsUruguayCoachStart |
P90754
|
FINISHED |
| Object | 1988 |
—
|
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: 1988 | Statement: [Óscar Tabárez, previousTenureAsUruguayCoachStart, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTenureAsUruguayCoachStart Context triple: [Óscar Tabárez, previousTenureAsUruguayCoachStart, 1988]
-
A.
headCoachPreviousTenure
chosen
Indicates that a person served as the head coach of a team or organization during a prior period before the current tenure.
-
B.
nationalTeamCoachingDebutYear
Indicates the year in which a coach first officially began coaching a national team.
-
C.
headCoachTenure
Indicates the duration or period during which a specific individual serves as the head coach of a team or organization.
-
D.
previousHeadCoach
Indicates that one entity formerly served as the head coach of the other entity before being replaced.
-
E.
hiredAsHeadCoachYear
Indicates the year in which an individual was hired to serve as the head coach of a team or organization.
- 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_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. |
Created at: April 16, 2026, 11:19 a.m.