Triple
T29710311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru vs Denmark |
E751759
|
entity |
| Predicate | PeruWorldCupAppearance |
P13983
|
FINISHED |
| Object | first World Cup match since 1982 for Peru |
—
|
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: first World Cup match since 1982 for Peru | Statement: [Peru vs Denmark, PeruWorldCupAppearance, first World Cup match since 1982 for Peru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PeruWorldCupAppearance Context triple: [Peru vs Denmark, PeruWorldCupAppearance, first World Cup match since 1982 for Peru]
-
A.
playedInWorldCupFor
Indicates that an individual participated as a player in at least one FIFA World Cup tournament representing a specified national team.
-
B.
playedInCopaAmerica
Indicates that an entity (typically a player or team) participated in at least one edition of the Copa América football tournament.
-
C.
WorldCupAppearances
chosen
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
D.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
E.
BrazilWorldCupTitlesBeforeMatch
Indicates the number of FIFA World Cup titles Brazil had already won prior to the referenced 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_69f0d62748848190b030d0a703629a7d |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672d8463481909f9144dbfa8be162 |
completed | May 2, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:30 p.m.