Triple
T35763202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigi Riva |
E1033934
|
entity |
| Predicate | allTimeTopScorerFor |
P6605
|
FINISHED |
| Object | Italy national football team |
—
|
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: Italy national football team | Statement: [Gigi Riva, allTimeTopScorerFor, Italy national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allTimeTopScorerFor Context triple: [Gigi Riva, allTimeTopScorerFor, Italy national football team]
-
A.
rankAllTimeGoals
Indicates a relationship that orders entities based on the total number of goals they have scored across all time.
-
B.
topGoalScorerGoals
Indicates the number of goals scored by the top goal scorer in a given context or competition.
-
C.
topScorer
chosen
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
D.
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.
-
E.
topScorerCompetition
Indicates that an entity is the highest-scoring participant in a specified competition.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c61e248190ab11908163d6f26c |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.