Triple
T17382795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahanweyn (Digil-Mirifle) |
E422611
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Maay |
—
|
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: Maay | Statement: [Rahanweyn (Digil-Mirifle), primaryLanguage, Maay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maay Context triple: [Rahanweyn (Digil-Mirifle), primaryLanguage, Maay]
-
A.
Maay
chosen
Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
-
B.
Maayka
Maayka is an Indian television drama series centered on the struggles and relationships of a woman with her parental home after marriage.
-
C.
Maiana
Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
-
D.
Marau
Marau is an Oceanic language spoken by a small community in Papua New Guinea.
-
E.
Mau
Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.