Triple
T4393064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .si |
E99410
|
entity |
| Predicate | governingPolicyBody |
P1051
|
FINISHED |
| Object | ARNES |
E436112
|
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: ARNES | Statement: [.si, governingPolicyBody, ARNES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARNES Context triple: [.si, governingPolicyBody, ARNES]
-
A.
ARNES
chosen
ARNES is Slovenia’s Academic and Research Network organization that provides internet infrastructure and services to the country’s research, educational, and cultural institutions.
-
B.
Armisen
Armisen is the surname of Fred Armisen, an American comedian, actor, writer, and musician known for his work on Saturday Night Live and Portlandia.
-
C.
Arkesini
Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
-
D.
Arne
Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
-
E.
ANE
ANE is Apple's dedicated on-device neural processing unit designed to accelerate machine learning tasks efficiently on Apple hardware.
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352a8862481909dc67abf42be6928 |
completed | March 12, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135919d08190abab3858ff01bf11 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:19 p.m.