Triple
T17382807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahanweyn (Digil-Mirifle) |
E422611
|
entity |
| Predicate | languageGroup |
P3349
|
FINISHED |
| Object | Maay 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 Maay | Statement: [Rahanweyn (Digil-Mirifle), languageGroup, Maay Maay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maay Maay Context triple: [Rahanweyn (Digil-Mirifle), languageGroup, Maay Maay]
-
A.
Maay Maay
chosen
Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
-
B.
Maray-maray
Maray-maray is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
-
C.
Mai-Mai Yakutumba
Mai-Mai Yakutumba is an armed rebel group active in eastern Democratic Republic of the Congo, known for its involvement in local insurgencies and ethnic-based self-defense militias.
-
D.
Maayon
Maayon is a rural municipality in the province of Capiz in the Philippines, known for its agricultural landscape and small-town community.
-
E.
Miraya Bikol
Miraya Bikol is a regional Bikol language variety spoken in parts of the Bicol Peninsula in the Philippines.
- 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.