Triple
T21531951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maracanazo |
E531250
|
entity |
| Predicate | impactOnUruguay |
P8692
|
FINISHED |
| Object | symbol of national pride |
—
|
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: symbol of national pride | Statement: [Maracanazo, impactOnUruguay, symbol of national pride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnUruguay Context triple: [Maracanazo, impactOnUruguay, symbol of national pride]
-
A.
estatusEnUruguay
Indicates the legal or official status that an entity holds within Uruguay.
-
B.
nearCityInUruguay
Indicates that one entity is located close to, or in the vicinity of, a specified city within Uruguay.
-
C.
affectedCountry
chosen
Indicates that a particular country is impacted or influenced by an event, action, or condition.
-
D.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
-
E.
copaAmerica2015Host
Indicates that the subject is the country or entity that hosted the 2015 Copa América tournament.
- 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.