Triple
T17382815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahanweyn (Digil-Mirifle) |
E422611
|
entity |
| Predicate | majorSubgroup |
P4297
|
FINISHED |
| Object | Digil |
—
|
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: Digil | Statement: [Rahanweyn (Digil-Mirifle), majorSubgroup, Digil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digil Context triple: [Rahanweyn (Digil-Mirifle), majorSubgroup, Digil]
-
A.
Digil
chosen
Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
-
B.
DIGI
DIGI is a music producer best known for working on the track "Love Lies."
-
C.
Diyatalawa
Diyatalawa is a Sri Lankan hill town known for its cool climate, military training camps, and scenic up-country surroundings.
-
D.
DIGIT
DIGIT is the European Commission’s Directorate‑General responsible for shaping, implementing, and managing the EU institutions’ digital, IT, and cybersecurity strategies and services.
-
E.
Dyal
Dyal is a given name most notably associated with Dyal Singh Majithia, a prominent 19th-century Punjabi philanthropist and social reformer.
- 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.