Triple
T32827662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 FIFA World Cup opening match |
E839595
|
entity |
| Predicate | numberOfGoalsByOscar |
P9098
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2014 FIFA World Cup opening match, numberOfGoalsByOscar, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGoalsByOscar Context triple: [2014 FIFA World Cup opening match, numberOfGoalsByOscar, 1]
-
A.
BrazilGoalsByOscar
Indicates the number of goals scored by the player Oscar for the Brazil national football team.
-
B.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
C.
famousGoalAgainst
Indicates that one entity is widely recognized for scoring a notable or iconic goal against another entity.
-
D.
scoredGoalsInFinalOf
Indicates that one entity scored one or more goals in the final match of a specified competition or event.
-
E.
playerGoal
Indicates that a player scores, achieves, or is credited with a goal in a game or 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a020243e2b4819086dbfdcf4372405e |
completed | May 11, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_6a0200f585bc8190b774c54cec409b00 |
completed | May 11, 2026, 4:16 p.m. |
Created at: May 1, 2026, 1:16 a.m.