Triple
T2266843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afar |
E50164
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Afaraf |
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: Afaraf | Statement: [Afar, alternativeName, Afaraf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afaraf Context triple: [Afar, alternativeName, Afaraf]
-
A.
Afgooye
Afgooye is a town in southern Somalia located near Mogadishu, known historically as an agricultural and trading center along the Shabelle River.
-
B.
Afar
chosen
Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
-
C.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
D.
Avarua
Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
-
E.
Faras
Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d492a48190be58396831e87ea0 |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.