Triple
T15554285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London |
E370827
|
entity |
| Predicate | clientImplementation |
P74636
|
FINISHED |
| Object | Besu |
E364860
|
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: Besu | Statement: [London, clientImplementation, Besu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Besu Context triple: [London, clientImplementation, Besu]
-
A.
Besu
chosen
Besu is an open-source Java-based Ethereum client designed for enterprise and public network use, supporting both mainnet and private/permissioned blockchain deployments.
-
B.
BESU
BESU is a renowned engineering and science university in West Bengal, India, known for its strong technical education and research legacy.
-
C.
Teku
Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
-
D.
Stratis
Stratis is the given name of Tériade, a notable Greek-born art critic and publisher known for collaborating with major 20th-century artists.
-
E.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.