Triple
T9853046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soca |
E239515
|
entity |
| Predicate | relatedGenre |
P8654
|
FINISHED |
| Object |
Kompa
Kompa is a popular Haitian dance music genre known for its smooth, guitar-driven rhythms and strong influence on Caribbean and diasporic music styles.
|
E825025
|
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: Kompa | Statement: [Soca, relatedGenre, Kompa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kompa Context triple: [Soca, relatedGenre, Kompa]
-
A.
Matra
Matra is a French engineering and aerospace company known for its work in transportation systems, defense, and automotive technologies.
-
B.
Fuso
Fuso is a commercial vehicle manufacturer best known for its trucks and buses, operating as part of Daimler’s global automotive group.
-
C.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
D.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
E.
Takara
Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
- 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: Kompa Triple: [Soca, relatedGenre, Kompa]
Generated description
Kompa is a popular Haitian dance music genre known for its smooth, guitar-driven rhythms and strong influence on Caribbean and diasporic music styles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kompa Target entity description: Kompa is a popular Haitian dance music genre known for its smooth, guitar-driven rhythms and strong influence on Caribbean and diasporic music styles.
-
A.
Matra
Matra is a French engineering and aerospace company known for its work in transportation systems, defense, and automotive technologies.
-
B.
Fuso
Fuso is a commercial vehicle manufacturer best known for its trucks and buses, operating as part of Daimler’s global automotive group.
-
C.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
D.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
E.
Takara
Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ee190c8190957451d8d8291df3 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.