Triple

T11100058
Position Surface form Disambiguated ID Type / Status
Subject LF E262478 entity
Predicate supportsProject P12986 FINISHED
Object Hyperledger E262479 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: Hyperledger | Statement: [LF, supportsProject, Hyperledger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyperledger
Context triple: [LF, supportsProject, Hyperledger]
  • A. Hyperledger chosen
    Hyperledger is an open-source collaborative project focused on developing enterprise-grade, permissioned blockchain frameworks and tools for business applications.
  • B. Algorand blockchain protocol
    Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
  • C. NetLedger
    NetLedger was an early web-based accounting and business management software company that later evolved into the cloud ERP platform NetSuite.
  • D. Algorand Foundation
    Algorand Foundation is the organization that oversees the development, governance, and ecosystem growth of the Algorand blockchain protocol.
  • E. Zcash
    Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7f9b46881909761ed448fa5ce6e completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.