Triple
T15177688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curramba la Bella |
E362654
|
entity |
| Predicate | meaning |
P129
|
FINISHED |
| Object | Curramba the Beautiful |
E362654
|
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: Curramba the Beautiful | Statement: [Curramba la Bella, meaning, Curramba the Beautiful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curramba the Beautiful Context triple: [Curramba la Bella, meaning, Curramba the Beautiful]
-
A.
Curramba la Bella
chosen
Curramba la Bella is a popular nickname for the Colombian city of Barranquilla, highlighting its lively, festive spirit and cultural charm.
-
B.
Gubbi Gubbi
Gubbi Gubbi are an Aboriginal Australian people whose traditional lands lie in the southeastern region of Queensland.
-
C.
Tirra Lirra
Tirra Lirra is a children's book by Laura E. Richards, best known for its whimsical, lyrical storytelling.
-
D.
Ootah
Ootah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including attempts to reach the North Pole.
-
E.
Bula Atumba
Bula Atumba is a town and municipality located in Angola’s Bengo Province.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.