Triple

T9961851
Position Surface form Disambiguated ID Type / Status
Subject Elliptic Curve Digital Signature Algorithm E195587 entity
Predicate usedIn P98 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: [Elliptic Curve Digital Signature Algorithm, usedIn, Ethereum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethereum
Context triple: [Elliptic Curve Digital Signature Algorithm, usedIn, 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d37f0c8190946b958c399f3250 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d904bbc8190ac0b28600ed2e709 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:47 p.m.