Triple
T21997247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFROSAI |
E543236
|
entity |
| Predicate | hasSuborganization |
P48916
|
FINISHED |
| Object | AFROSAI-E |
—
|
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: AFROSAI-E | Statement: [AFROSAI, hasSuborganization, AFROSAI-E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFROSAI-E Context triple: [AFROSAI, hasSuborganization, AFROSAI-E]
-
A.
AFROSAI
chosen
AFROSAI is the African regional organization that brings together the supreme audit institutions of African countries to promote good governance, accountability, and the exchange of auditing expertise.
-
B.
Aivas
Aivas is an ancient, highly advanced artificial intelligence from Anne McCaffrey’s Dragonriders of Pern series that helps guide Pern’s inhabitants with its vast stored knowledge.
-
C.
xAI
xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
-
D.
AIPo
AIPo is the Italian interregional agency responsible for managing and safeguarding the Po River and its basin.
-
E.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.