Triple
T17674803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erlang VM |
E440618
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Erlang/OTP |
—
|
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/OTP | Statement: [Erlang VM, partOf, Erlang/OTP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erlang/OTP Context triple: [Erlang VM, partOf, Erlang/OTP]
-
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.
Erlang VM
The Erlang VM (BEAM) is a highly concurrent, fault-tolerant virtual machine designed for building scalable, distributed systems and real-time applications.
-
C.
Elixir
Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
-
D.
Akka Toolkit
Akka Toolkit is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM using the actor model.
-
E.
Phoenix Framework
Phoenix Framework is an Elixir-based web development framework known for its high performance, real-time capabilities, and productive developer experience inspired by Ruby on Rails.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.