Triple
T29710455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany vs Sweden (2018 FIFA World Cup) |
E751763
|
entity |
| Predicate | GermanyGoalScorer |
P2695
|
FINISHED |
| Object | Marco Reus |
—
|
NE NERFINISHED |
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: Marco Reus | Statement: [Germany vs Sweden (2018 FIFA World Cup), GermanyGoalScorer, Marco Reus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanyGoalScorer Context triple: [Germany vs Sweden (2018 FIFA World Cup), GermanyGoalScorer, Marco Reus]
-
A.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
-
B.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
C.
ChelseaGoals
Indicates that the event or record involves goals scored by the football club Chelsea.
-
D.
numberOfGermanFootballerOfTheYearAwards
Indicates the number of times an entity has received the German Footballer of the Year award.
-
E.
goalScorerIn
Indicates that an entity is the player who scored a goal in a particular match or event.
- 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 7:30 p.m.