Triple
T10639105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qafar |
E250672
|
entity |
| Predicate | hasExonym |
P4705
|
FINISHED |
| Object | Afar |
E50164
|
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: Afar | Statement: [Qafar, hasExonym, Afar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afar Context triple: [Qafar, hasExonym, Afar]
-
A.
Afar
chosen
Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
-
B.
Afar Region
The Afar Region is a northeastern Ethiopian state inhabited mainly by the Afar people, known for its arid lowlands, pastoralist culture, and proximity to the geologically active Afar Depression.
-
C.
Hirshabelle
Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
-
D.
Begarawiya
Begarawiya is an archaeological site in Sudan renowned for its ancient Nubian pyramids and royal necropolis of the Kingdom of Meroë.
-
E.
Tigré
Tigré is a Semitic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfaf12188190a5774d4d64674653 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbace2a5388190bb685d347dd8aa6c |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:04 p.m.