Triple
T10569521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Omar |
E249441
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Conteo
"Conteo" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its energetic rhythm and prominence in the mid-2000s Latin urban music scene.
|
E871939
|
NE FINISHED |
How this triple was built (4 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: Conteo | Statement: [Don Omar, notableWork, Conteo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conteo Context triple: [Don Omar, notableWork, Conteo]
-
A.
Empalme
Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
-
B.
Empalme
Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
-
C.
Conejos
Conejos is a small unincorporated community in southern Colorado that serves as the historic county seat of Conejos County.
-
D.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
E.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Conteo Triple: [Don Omar, notableWork, Conteo]
Generated description
"Conteo" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its energetic rhythm and prominence in the mid-2000s Latin urban music scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conteo Target entity description: "Conteo" is a reggaeton song by Puerto Rican artist Don Omar, recognized for its energetic rhythm and prominence in the mid-2000s Latin urban music scene.
-
A.
Empalme
Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
-
B.
Empalme
Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
-
C.
Conejos
Conejos is a small unincorporated community in southern Colorado that serves as the historic county seat of Conejos County.
-
D.
Colonia
Colonia is the historical Latin name for the German city of Cologne, reflecting its origins as a Roman colony.
-
E.
Colonia
Colonia is the main administrative and population center of Yap State in the Federated States of Micronesia, located on the island of Yap.
- F. None of above. chosen
Provenance (5 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52730fd4481908b3f4eb80ca209f2 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b4c26ec8190910efdf4a236d654 |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e2f16788190bec54b250dad09a9 |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:37 p.m.