Triple

T4325740
Position Surface form Disambiguated ID Type / Status
Subject uWSGI E96630 entity
Predicate supportsLanguage P2177 FINISHED
Object Erlang E96230 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: Erlang | Statement: [uWSGI, supportsLanguage, Erlang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erlang
Context triple: [uWSGI, supportsLanguage, Erlang]
  • A. Erlang chosen
    Erlang is a functional, concurrent programming language designed for building highly scalable, fault-tolerant distributed systems, originally developed by Ericsson for telecom applications.
  • B. Elixir
    Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
  • C. Oberon programming language
    The Oberon programming language is a minimalist, modular, and strongly typed language designed by Niklaus Wirth as the successor to Modula-2, emphasizing simplicity and efficiency in both language and operating system design.
  • D. Simula
    Simula is an early high-level programming language from the 1960s that pioneered object-oriented programming concepts such as classes and objects.
  • E. Chez Scheme
    Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513020f481909ff2fec3934f3002 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.