Triple

T3524654
Position Surface form Disambiguated ID Type / Status
Subject Ethereum blockchain E74507 entity
Predicate consensusLayerClient P49254 FINISHED
Object Nimbus
Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
 E364865 NE FINISHED

How this triple was built (4 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: Nimbus | Statement: [Ethereum blockchain, consensusLayerClient, Nimbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nimbus
Context triple: [Ethereum blockchain, consensusLayerClient, Nimbus]
  • A. Aquilon
    Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
  • B. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Aegis
    Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nimbus
Triple: [Ethereum blockchain, consensusLayerClient, Nimbus]
Generated description
Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nimbus
Target entity description: Nimbus is a lightweight, resource-efficient Ethereum consensus client designed to run on a wide range of devices, including low-power and embedded hardware.
  • A. Aquilon
    Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
  • B. Orneta
    Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Aegis
    Aegis is a distributed, capability-based operating system developed at MIT in the 1980s, known for its fine-grained security model and use in the Apollo/Domain workstation environment.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • F. None of above. chosen

Provenance (5 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc68b15881909b407486946ec3c5 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.