Triple
T1820637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobiin |
E40530
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Fadicca-Mahas |
E202799
|
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: Fadicca-Mahas | Statement: [Nobiin, alternativeName, Fadicca-Mahas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fadicca-Mahas Context triple: [Nobiin, alternativeName, Fadicca-Mahas]
-
A.
Mahas
chosen
Mahas is an alternative name for the Nobiin language, a Nubian language spoken primarily along the Nile in southern Egypt and northern Sudan.
-
B.
Fadal
Fadal is the surname of American actress and model Shannon Elizabeth, known for her roles in films like "American Pie" and "Scary Movie."
-
C.
Fatha
Fatha is the nickname of Earl Hines, a pioneering American jazz pianist and bandleader whose innovative style helped shape early jazz and swing music.
-
D.
Frentani
The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
-
E.
Fakui
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662a13208190b4126d92c613760d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9ac97e081908ab1d30fa41c3e9b |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:32 p.m.