Triple
T21531900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguay vs Brazil (1950 FIFA World Cup) |
E531249
|
entity |
| Predicate | BrazilPointsBeforeMatch |
P35353
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Uruguay vs Brazil (1950 FIFA World Cup), BrazilPointsBeforeMatch, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrazilPointsBeforeMatch Context triple: [Uruguay vs Brazil (1950 FIFA World Cup), BrazilPointsBeforeMatch, 4]
-
A.
scoreBeforePlay
Indicates that a particular score or point total existed prior to a specific play or action occurring.
-
B.
playoffPoints
Indicates the number of points an entity has earned or been credited with in playoff or postseason competition.
-
C.
seriesScoreBeforeGame
chosen
Indicates the cumulative score or standing in a series between competitors as it existed prior to a specific game being played.
-
D.
openingMatchScore
Indicates the degree of similarity or compatibility between an opening (e.g., a position, role, or opportunity) and a given candidate or item, typically expressed as a numeric score.
-
E.
matchPointsDraw
Indicates that the entities receive or share an equal number of points as a result of a drawn or tied match.
- 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_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. |
Created at: April 16, 2026, 6:27 p.m.