Triple
T11499640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CONCACAF Gold Cup Golden Boot |
E272629
|
entity |
| Predicate | topScorerCanComeFrom |
P99813
|
FINISHED |
| Object | any participating national team |
—
|
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: any participating national team | Statement: [CONCACAF Gold Cup Golden Boot, topScorerCanComeFrom, any participating national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topScorerCanComeFrom Context triple: [CONCACAF Gold Cup Golden Boot, topScorerCanComeFrom, any participating national team]
-
A.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
B.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
C.
isAmongTopScorers
Indicates that an entity ranks within the highest-performing group based on a scoring or evaluation metric.
-
D.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, or context.
-
E.
topScorerTeam
Indicates that a given team is the one with the highest score (or total points) in a particular game, season, or competition.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.