Triple
T19498487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dominican Republic winter league |
E487836
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Toros del Este |
—
|
NE NERFINISHED |
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: Toros del Este | Statement: [Dominican Republic winter league, includes, Toros del Este]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toros del Este Context triple: [Dominican Republic winter league, includes, Toros del Este]
-
A.
Toros del Este
chosen
Toros del Este is a professional baseball team based in the Dominican Republic that competes in the country’s top winter league.
-
B.
Toros Neza
Toros Neza was a colorful and famously eccentric Mexican football club known for its attacking style and flamboyant player personalities during the 1990s.
-
C.
Toros
Toros is the nickname of Major League Soccer club FC Dallas, reflecting the team's bull-themed identity.
-
D.
Toros
Toros is the abbreviated name of the Austin Toros, a professional basketball team that competed in the NBA Development League.
-
E.
Toros
Toros is the short name of the Toronto Toros, a former World Hockey Association team based in Toronto, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63493232881909fc33fb84da3e1b5 |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.