Triple
T21531901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | UruguayPointsBeforeMatch |
P144738
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayPointsBeforeMatch, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UruguayPointsBeforeMatch Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), UruguayPointsBeforeMatch, 3]
-
A.
startTimeAsUruguayCoach
Indicates the date and time at which an individual began their tenure as coach of the Uruguay national team.
-
B.
endTimeAsUruguayCoach
Indicates the point in time at which an individual’s tenure or role as coach of the Uruguay national team concludes.
-
C.
matchPointsDraw
Indicates that the entities receive or share an equal number of points as a result of a drawn or tied match.
-
D.
nearCityInUruguay
Indicates that one entity is located close to, or in the vicinity of, a specified city within Uruguay.
-
E.
decisiveMatchAttendance
Indicates that an entity attends a match whose outcome is crucial or decisive, such as determining a championship, qualification, or elimination.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:27 p.m.