Triple
T12259665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Water & Garri |
E292187
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Work Fada
Work Fada is a track from the Nigerian music project "Water & Garri," likely showcasing its creator's blend of Afrobeats, soul, and contemporary African sounds.
|
E968843
|
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: Work Fada | Statement: [Water & Garri, hasPart, Work Fada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Work Fada Context triple: [Water & Garri, hasPart, Work Fada]
-
A.
Fuday
Fuday is a small, uninhabited island in the Outer Hebrides of Scotland, lying between the islands of Barra and Eriskay.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
D.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
E.
Fadal
Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
- 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: Work Fada Triple: [Water & Garri, hasPart, Work Fada]
Generated description
Work Fada is a track from the Nigerian music project "Water & Garri," likely showcasing its creator's blend of Afrobeats, soul, and contemporary African sounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Work Fada Target entity description: Work Fada is a track from the Nigerian music project "Water & Garri," likely showcasing its creator's blend of Afrobeats, soul, and contemporary African sounds.
-
A.
Fuday
Fuday is a small, uninhabited island in the Outer Hebrides of Scotland, lying between the islands of Barra and Eriskay.
-
B.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
C.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
D.
FAMO
FAMO was a German vehicle manufacturer best known for producing military half-tracks and armored vehicles for the Wehrmacht during World War II.
-
E.
Fadal
Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac1b5148190838b782848e3fa36 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60bde9b0c81908df8207a8b6530af |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c99de9881909ef87b878ac346fc |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:52 p.m.