Triple
T1858321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVR |
E41755
|
entity |
| Predicate | distinctFrom |
P1612
|
FINISHED |
| Object | GRU |
E208812
|
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: GRU | Statement: [SVR, distinctFrom, GRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRU Context triple: [SVR, distinctFrom, GRU]
-
A.
GRU
chosen
GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
-
B.
RBM
RBM is a global partnership initiative dedicated to coordinating and scaling up efforts to prevent, control, and ultimately eliminate malaria worldwide.
-
C.
SGD
SGD is the official currency code for the Singapore dollar, the national currency of Singapore used in domestic and international transactions.
-
D.
Transformer
Transformer is a neural network architecture based on self-attention mechanisms that has become the foundation for modern large language models and many state-of-the-art systems in natural language processing.
-
E.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb081405881909e4bea94b9813a4b |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf4ecdc08190a264b358d3883f70 |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:33 p.m.