Triple
T21531964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracanazo |
E531250
|
entity |
| Predicate | culturalSignificanceInUruguay |
P958
|
FINISHED |
| Object | mythologized football triumph |
—
|
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: mythologized football triumph | Statement: [Maracanazo, culturalSignificanceInUruguay, mythologized football triumph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalSignificanceInUruguay Context triple: [Maracanazo, culturalSignificanceInUruguay, mythologized football triumph]
-
A.
nearCityInUruguay
Indicates that one entity is located close to, or in the vicinity of, a specified city within Uruguay.
-
B.
estatusEnUruguay
Indicates the legal or official status that an entity holds within Uruguay.
-
C.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
D.
hasCulturalSignificanceFor
chosen
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
E.
unitArgentina
Indicates a relationship where an entity is associated with, belongs to, or is characterized as a unit related to Argentina.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.