Triple
T22962825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil vs Germany 2002 FIFA World Cup Final |
E570950
|
entity |
| Predicate | goalsByGermany |
P43243
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Brazil vs Germany 2002 FIFA World Cup Final, goalsByGermany, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsByGermany Context triple: [Brazil vs Germany 2002 FIFA World Cup Final, goalsByGermany, 0]
-
A.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given entity.
-
B.
objectiveGermany
Indicates that an entity has Germany as its objective, target, or goal in a given context.
-
C.
strategicGoalOfGermany
Indicates that something is a strategic goal or long-term objective pursued by Germany.
-
D.
worldCupGoals
chosen
Indicates the number of goals an entity scored in World Cup matches.
-
E.
numberOfGermanFootballerOfTheYearAwards
Indicates the number of times an entity has received the German Footballer of the Year award.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f594fc8190816418486b798198 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.