Triple
T5973210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confederation of Central American and Caribbean Football |
E132923
|
entity |
| Predicate | governingBodyFor |
P2820
|
FINISHED |
| Object | national football associations in Central America |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: national football associations in Central America | Statement: [Confederation of Central American and Caribbean Football, governingBodyFor, national football associations in Central America]
Provenance (2 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:03 p.m.