Triple
T222664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central American Cup |
E4249
|
entity |
| Predicate | languageOfCompetitionBranding |
P4196
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Central American Cup, languageOfCompetitionBranding, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCompetitionBranding Context triple: [Central American Cup, languageOfCompetitionBranding, English]
-
A.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular language.
-
B.
sportsBrand
Indicates that one entity is a sports-related brand or label associated with the other entity.
-
C.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
D.
languageOfSignage
chosen
Indicates the language used on signs or written displays associated with an entity.
-
E.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.