Triple

T15264488
Position Surface form Disambiguated ID Type / Status
Subject Lighthouse E364863 entity
Predicate compatibleWith P203 FINISHED
Object Nethermind E364859 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: Nethermind | Statement: [Lighthouse, compatibleWith, Nethermind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nethermind
Context triple: [Lighthouse, compatibleWith, Nethermind]
  • A. Nethermind chosen
    Nethermind is a high-performance, .NET-based Ethereum execution client used to run full nodes, validate blocks, and interact with the Ethereum network.
  • B. Tencteri
    The Tencteri were an ancient Germanic tribe known from Roman sources for inhabiting the region along the lower Rhine and participating in conflicts with the Roman Empire.
  • C. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • D. Nexo
    Nexo is a town on the eastern coast of the Danish island of Bornholm, known for its fishing harbor and coastal scenery.
  • E. 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.
  • 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.