Triple
T30323236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1975 Copa América |
E771262
|
entity |
| Predicate | hostCountryFormat |
P115609
|
FINISHED |
| Object | matches played in participating countries |
—
|
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: matches played in participating countries | Statement: [1975 Copa América, hostCountryFormat, matches played in participating countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryFormat Context triple: [1975 Copa América, hostCountryFormat, matches played in participating countries]
-
A.
countrySpecificFormat
chosen
Indicates that something follows a format or structure that is specific to, and varies by, a particular country.
-
B.
hostCountryResult
Indicates the outcome or performance achieved by the host country in a particular event, competition, or context.
-
C.
hostNationality
Indicates the national affiliation or citizenship of the host in a given hosting relationship or context.
-
D.
returnedHostCountry
Indicates that an entity has gone back to or resumed residence in its original or previous host country.
-
E.
hostCountryLanguageContext
Indicates the linguistic environment or language norms present in the country where an entity is hosted or operating.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 7:52 p.m.