Triple

T9029457
Position Surface form Disambiguated ID Type / Status
Subject RenVM E216131 entity
Predicate supports P516 FINISHED
Object Solana
Solana is a high-performance, proof-of-stake blockchain platform designed for fast, low-cost decentralized applications and crypto transactions.
 E773507 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: Solana | Statement: [RenVM, supports, Solana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Solana
Context triple: [RenVM, supports, Solana]
  • A. Solana
    Solana is a Spanish surname most notably associated with Javier Solana, a prominent diplomat and former NATO Secretary General.
  • B. Potos
    Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
  • C. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • D. Saura
    Saura is a Spanish surname most prominently associated with acclaimed film director Carlos Saura.
  • E. Arviat
    Arviat is a predominantly Inuit hamlet on the western shore of Hudson Bay in Nunavut, Canada, known for its traditional culture and remote Arctic setting.
  • 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: Solana
Triple: [RenVM, supports, Solana]
Generated description
Solana is a high-performance, proof-of-stake blockchain platform designed for fast, low-cost decentralized applications and crypto transactions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Solana
Target entity description: Solana is a high-performance, proof-of-stake blockchain platform designed for fast, low-cost decentralized applications and crypto transactions.
  • A. Solana
    Solana is a Spanish surname most notably associated with Javier Solana, a prominent diplomat and former NATO Secretary General.
  • B. Potos
    Potos is a genus of arboreal mammals best known for the kinkajou, a nocturnal, fruit-eating rainforest species with a prehensile tail.
  • C. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • D. Saura
    Saura is a Spanish surname most prominently associated with acclaimed film director Carlos Saura.
  • E. Arviat
    Arviat is a predominantly Inuit hamlet on the western shore of Hudson Bay in Nunavut, Canada, known for its traditional culture and remote Arctic setting.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfde57a18c8190b4b8c8d2f521bd2c completed April 3, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfdec619d081909fd6b268f4ce06b9 completed April 3, 2026, 3:37 p.m.
Created at: March 30, 2026, 7:08 p.m.