Triple
T20883374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Klopas |
E514207
|
entity |
| Predicate | sportNumberOfMatchesPlayed |
P66711
|
FINISHED |
| Object | international caps for United States men's national soccer 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: international caps for United States men's national soccer team | Statement: [Frank Klopas, sportNumberOfMatchesPlayed, international caps for United States men's national soccer team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfMatchesPlayed Context triple: [Frank Klopas, sportNumberOfMatchesPlayed, international caps for United States men's national soccer team]
-
A.
sportNumberOfAppearances
chosen
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
B.
matchesPlayedIn
Indicates that a particular match was played in a specified location, event, or competition context.
-
C.
leagueMatchesPlayed
Indicates the number of matches an entity has participated in within a specific league competition.
-
D.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
-
E.
matchesPlayedAs
Indicates that a certain number of matches were played with a specific role, configuration, or context.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67b03088190be7cbcde8c59509a |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:46 p.m.