Triple
T26175704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 FIFA World Cup third place match against South Korea |
E654533
|
entity |
| Predicate | fastestGoalTime |
P160353
|
FINISHED |
| Object | 00:11 |
—
|
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: 00:11 | Statement: [2002 FIFA World Cup third place match against South Korea, fastestGoalTime, 00:11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastestGoalTime Context triple: [2002 FIFA World Cup third place match against South Korea, fastestGoalTime, 00:11]
-
A.
fastestGoalScorer
Indicates that the subject is the player who scored a goal in the shortest time (e.g., from match start or appearance) compared to others.
-
B.
minuteOfGoal
Indicates the specific minute in a match when a particular goal was scored.
-
C.
goalTimeRecord
Indicates that a specific time value is recorded as the target or goal duration for an activity or process.
-
D.
minuteOfOpeningGoal
Indicates the specific minute in a match when the first (opening) goal is scored.
-
E.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c6bc408819098c4288f77d75e38 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 8:37 p.m.