Triple
T9901279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauricio Cienfuegos |
E182287
|
entity |
| Predicate | sportNumberOfMatches |
P66711
|
FINISHED |
| Object | over 60 caps for El Salvador national football 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: over 60 caps for El Salvador national football team | Statement: [Mauricio Cienfuegos, sportNumberOfMatches, over 60 caps for El Salvador national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportNumberOfMatches Context triple: [Mauricio Cienfuegos, sportNumberOfMatches, over 60 caps for El Salvador national football team]
-
A.
sportsCountStatus
Indicates the status or condition of how many sports-related items or activities are present or counted.
-
B.
sportsCount
Indicates the number of sports associated with or involved in a given entity or context.
-
C.
sportNumber
Indicates the specific jersey or uniform number associated with an athlete in a sporting context.
-
D.
sportNumberOfAppearances
chosen
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
E.
leagueMatchesPlayed
Indicates the number of matches an entity has participated in within a specific league 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e221448190b536742d1269f9d7 |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.