Triple
T2195456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Ruiz |
E49960
|
entity |
| Predicate | FIFAWorldCupQualificationGoalsRecord |
P9098
|
FINISHED |
| Object | held CONCACAF record for most goals in World Cup qualifiers |
—
|
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: held CONCACAF record for most goals in World Cup qualifiers | Statement: [Carlos Ruiz, FIFAWorldCupQualificationGoalsRecord, held CONCACAF record for most goals in World Cup qualifiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAWorldCupQualificationGoalsRecord Context triple: [Carlos Ruiz, FIFAWorldCupQualificationGoalsRecord, held CONCACAF record for most goals in World Cup qualifiers]
-
A.
WorldCupVictories
Indicates the number of times an entity has won the FIFA World Cup tournament.
-
B.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
C.
WorldCupWins
Indicates the number of times an entity (typically a national team) has won the FIFA World Cup tournament.
-
D.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
E.
goalScorer
Indicates that the subject is the player who scored a particular goal in a game or match.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf764e348190896af2aeb5520038 |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.