Triple
T8795869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arena da Baixada |
E209286
|
entity |
| Predicate | fifaWorldCupMatchesHosted |
P85436
|
FINISHED |
| Object | group stage matches in 2014 |
—
|
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: group stage matches in 2014 | Statement: [Arena da Baixada, fifaWorldCupMatchesHosted, group stage matches in 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldCupMatchesHosted Context triple: [Arena da Baixada, fifaWorldCupMatchesHosted, group stage matches in 2014]
-
A.
fifaWorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup tournaments.
-
B.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
-
C.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
D.
fifaWorldCupOrganiser
Indicates that the subject is the organizing body responsible for staging and managing the specified FIFA World Cup tournament.
-
E.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa24ca08190a7738a7f1c446456 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:44 p.m.