Triple
T2830480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio |
E62222
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object | Rio 2 |
E60994
|
NE 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: Rio 2 | Statement: [Rio, hasSequel, Rio 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio 2 Context triple: [Rio, hasSequel, Rio 2]
-
A.
Rio 2
chosen
Rio 2 is a 2014 animated musical adventure comedy film and sequel to Rio, following the adventures of Blu and Jewel as they journey to the Amazon rainforest.
-
B.
The Brazilians
The Brazilians is the popular nickname of South African football club Mamelodi Sundowns F.C., reflecting their yellow-and-blue kit and flair-filled playing style reminiscent of Brazil’s national team.
-
C.
The Carioca
"The Carioca" is a popular 1933 samba-inspired dance song closely associated with the film *Flying Down to Rio* and early Fred Astaire–Ginger Rogers musical numbers.
-
D.
Jungala
Jungala is a jungle-themed area at Busch Gardens Tampa Bay featuring animal exhibits, interactive play zones, and family-friendly rides.
-
E.
Milagro
Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 10:01 p.m.