Triple
T1601666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4AI |
E34406
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | A4AI |
E34406
|
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: A4AI | Statement: [A4AI, abbreviation, A4AI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A4AI Context triple: [A4AI, abbreviation, A4AI]
-
A.
A4AI
chosen
A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
-
B.
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.
-
C.
Einstein AI
Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
-
D.
AIST
AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
-
E.
xAI
xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094b7b3c8190a5b08699e07a770f |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46ad15b081908b59df18224c7a8f |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.