Triple
T15264344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Besu |
E364860
|
entity |
| Predicate | supportsConsensus |
P117864
|
FINISHED |
| Object | IBFT 2.0 |
E467813
|
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: IBFT 2.0 | Statement: [Besu, supportsConsensus, IBFT 2.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IBFT 2.0 Context triple: [Besu, supportsConsensus, IBFT 2.0]
-
A.
FBFT
FBFT is the ICAO airport code assigned to Francistown Airport in Botswana.
-
B.
BESU
BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
-
C.
Algorand blockchain protocol
Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
-
D.
Practical Byzantine Fault Tolerance
chosen
Practical Byzantine Fault Tolerance is a consensus algorithm for distributed systems that efficiently tolerates Byzantine (arbitrary) faults, enabling reliable operation even when some nodes behave maliciously or unpredictably.
-
E.
Spaghetti Blockchain
Spaghetti Blockchain is a surreal, multimedia art installation by Mika Rottenberg that explores themes of global capitalism, labor, and material transformation through absurd, visually intricate scenarios.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.