Triple
T10063885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil vs Netherlands (2014 FIFA World Cup) |
E213051
|
entity |
| Predicate | goalMinute |
P82465
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Brazil vs Netherlands (2014 FIFA World Cup), goalMinute, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalMinute Context triple: [Brazil vs Netherlands (2014 FIFA World Cup), goalMinute, 3]
-
A.
minuteOfGoal
chosen
Indicates the specific minute in a match when a particular goal was scored.
-
B.
decidingGoalMinute
Indicates the minute in a match when a goal is scored that ultimately decides the outcome (e.g., the winning or decisive goal).
-
C.
minuteOfOpeningGoal
Indicates the specific minute in a match when the first (opening) goal is scored.
-
D.
goalTimeRecord
Indicates that a specific time value is recorded as the target or goal duration for an activity or process.
-
E.
awayTeamEqualiserMinute
Indicates the minute of the match in which the away team scored the goal that brought the scores level.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd4e4ac8190a37061b4082caa48 |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:58 p.m.