Triple
T23165299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuwabu language |
E578695
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | Cuabo |
—
|
NE NERFINISHED |
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: Cuabo | Statement: [Chuwabu language, hasAlternateName, Cuabo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuabo Context triple: [Chuwabu language, hasAlternateName, Cuabo]
-
A.
Cuabo
chosen
Cuabo is an alternative name for the Chuwabu language spoken in parts of Mozambique.
-
B.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
C.
Monocuco
Monocuco is a traditional masked and cloaked trickster figure from Colombia’s Barranquilla Carnival, known for its colorful costume and playful, anonymous interactions with spectators.
-
D.
Machuelo
Machuelo is a barrio (district) of the municipality of Humacao in Puerto Rico, functioning as one of its local administrative and residential communities.
-
E.
Jocoro
Jocoro is a small town in eastern El Salvador known for its rural character and location within the Morazán Department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2bca4881909f6148d588948018 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.