Triple

T7899164
Position Surface form Disambiguated ID Type / Status
Subject Segregated Witness E183405 entity
Predicate alsoKnownAs P39 FINISHED
Object SegWit E183405 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: SegWit | Statement: [Segregated Witness, alsoKnownAs, SegWit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SegWit
Context triple: [Segregated Witness, alsoKnownAs, SegWit]
  • A. Segregated Witness chosen
    Segregated Witness is a Bitcoin protocol upgrade that separates signature data from transaction data to increase block capacity, improve scalability, and fix transaction malleability.
  • B. BSV
    BSV is the National Rail station code for Buckshaw Parkway railway station in Lancashire, England.
  • C. Zcash
    Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
  • D. Bitcoin Cash
    Bitcoin Cash is a decentralized cryptocurrency that forked from Bitcoin to offer faster, cheaper peer-to-peer payments through larger block sizes.
  • E. satoshi
    A satoshi is the smallest divisible unit of the cryptocurrency Bitcoin, representing one hundred millionth of a single bitcoin.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a2ae5048190a6824d34b582c366 completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bb719a08190a0545a361f559bf7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:01 p.m.