Triple

T1621621
Position Surface form Disambiguated ID Type / Status
Subject satoshi E35042 entity
Predicate maximumTotalNumberDescription P7664 FINISHED
Object 21 million bitcoins times 100 million satoshis per bitcoin LITERAL 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: 21 million bitcoins times 100 million satoshis per bitcoin | Statement: [satoshi, maximumTotalNumberDescription, 21 million bitcoins times 100 million satoshis per bitcoin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumTotalNumberDescription
Context triple: [satoshi, maximumTotalNumberDescription, 21 million bitcoins times 100 million satoshis per bitcoin]
  • A. hasTotalNumber chosen
    Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
  • B. maximumNumberOfSegments
    Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
  • C. maximumCapacity
    Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
  • D. maximumService
    Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
  • E. totalCapacity
    Indicates the maximum amount or volume that something can hold or accommodate in total.
  • F. None of above.

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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.