Triple
T29710465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Sweden (2018 FIFA World Cup) |
E751763
|
entity |
| Predicate | minuteOfRedCard |
P167627
|
FINISHED |
| Object | 82 |
—
|
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: 82 | Statement: [Germany vs Sweden (2018 FIFA World Cup), minuteOfRedCard, 82]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minuteOfRedCard Context triple: [Germany vs Sweden (2018 FIFA World Cup), minuteOfRedCard, 82]
-
A.
numberOfRedCards
Indicates the count of red cards associated with a given entity or event.
-
B.
penaltyMinute
Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
-
C.
numberOfYellowCards
Indicates the count of yellow cards assigned to an entity (such as a player or team) within a specified context or event.
-
D.
redCardInWorldCupFinal
Indicates that a player was shown a red card during a World Cup final match.
-
E.
penaltyMinutesCharacteristic
Indicates the amount of time in penalty minutes associated with an entity, typically reflecting infractions or rule violations.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:30 p.m.