Triple

T15264590
Position Surface form Disambiguated ID Type / Status
Subject Nimbus E364865 entity
Predicate ecosystem P964 FINISHED
Object Ethereum E74507 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: Ethereum | Statement: [Nimbus, ecosystem, Ethereum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethereum
Context triple: [Nimbus, ecosystem, Ethereum]
  • A. Ethereum blockchain chosen
    The Ethereum blockchain is a decentralized, open-source platform that supports programmable smart contracts and powers a wide ecosystem of cryptocurrencies and decentralized applications (dApps).
  • B. ETH
    ETH is a leading Swiss public research university in Zurich renowned for its excellence in science, engineering, and technology.
  • C. ETH
    ETH is the ICAO airline designator used to identify Ethiopian Airlines in international aviation operations.
  • D. ETH
    ETH is the official municipal code for the eThekwini Metropolitan Municipality, which includes the city of Durban in South Africa.
  • E. Ethereum Foundation
    The Ethereum Foundation is a nonprofit organization that supports the development, research, and ecosystem growth of the Ethereum blockchain and its related technologies.
  • 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_69ff6ec2f35c8190a96af080cd7b6d0e completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 3:14 a.m.