Triple

T20281404
Position Surface form Disambiguated ID Type / Status
Subject Phoenix E503151 entity
Predicate runsOn P23 FINISHED
Object Erlang VM NE NERFINISHED

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: Erlang VM | Statement: [Phoenix, runsOn, Erlang VM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erlang VM
Context triple: [Phoenix, runsOn, Erlang VM]
  • A. Erlang VM chosen
    The Erlang VM (BEAM) is a highly concurrent, fault-tolerant virtual machine designed for building scalable, distributed systems and real-time applications.
  • B. Erlang
    Erlang is a functional, concurrent programming language designed for building highly scalable, fault-tolerant distributed systems, originally developed by Ericsson for telecom applications.
  • C. K Virtual Machine
    K Virtual Machine is a lightweight Java virtual machine designed for resource-constrained devices such as mobile phones and embedded systems.
  • D. Programming Erlang
    Programming Erlang is a foundational book by Joe Armstrong that introduces and explains the Erlang programming language, particularly its strengths in concurrency, fault tolerance, and distributed systems.
  • E. Elixir
    Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:38 a.m.