Triple
T32827710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil vs Croatia 2014 FIFA World Cup group match |
E839596
|
entity |
| Predicate | BrazilGoalsByNeymar |
P175525
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Brazil vs Croatia 2014 FIFA World Cup group match, BrazilGoalsByNeymar, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrazilGoalsByNeymar Context triple: [Brazil vs Croatia 2014 FIFA World Cup group match, BrazilGoalsByNeymar, 2]
-
A.
goalsByBrazil
Indicates the number of goals that Brazil scored in a given match or context.
-
B.
penaltyGoalScorerForBrazil
Indicates that the subject is the player who scored a goal from a penalty kick for the Brazil national team.
-
C.
BrazilKeyPlayer
Indicates that an entity plays or has played a central, influential role for Brazil’s national team in its sport.
-
D.
MessiGoals
Indicates that one entity (Messi) scores a certain number of goals in a match, season, or specified context.
-
E.
ChelseaGoals
Indicates that the event or record involves goals scored by the football club Chelsea.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:16 a.m.