Triple
T10042996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian Semitic |
E205341
|
entity |
| Predicate | majorLanguage |
P207
|
FINISHED |
| Object | Gafat |
E806189
|
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: Gafat | Statement: [Ethiopian Semitic, majorLanguage, Gafat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gafat Context triple: [Ethiopian Semitic, majorLanguage, Gafat]
-
A.
Gafat
chosen
Gafat is an extinct South Ethio-Semitic language once spoken in parts of Ethiopia.
-
B.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
C.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
D.
Dahlak Kebir
Dahlak Kebir is the largest island of Eritrea’s Dahlak Archipelago in the Red Sea, known for its rich marine life, coral reefs, and historical significance as a trading and fishing hub.
-
E.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf60a2208190846e57b5f5649307 |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28278235c8190a5e833a9586bd3f5 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.