Triple

T17674774
Position Surface form Disambiguated ID Type / Status
Subject Erlang VM E440618 entity
Predicate programmingLanguage P1592 FINISHED
Object LFE
LFE (Lisp Flavoured Erlang) is a Lisp dialect that runs on the Erlang virtual machine, combining Lisp syntax with Erlang’s concurrency and fault-tolerance features.
E1282056 NE FINISHED

How this triple was built (4 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: LFE | Statement: [Erlang VM, programmingLanguage, LFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFE
Context triple: [Erlang VM, programmingLanguage, LFE]
  • A. Elixir
    Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
  • B. LFLX
    LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
  • C. LFO
    LFO is a pioneering British electronic music act known for helping define the early 1990s techno and bleep scene.
  • D. FLE
    FLE is the National Rail station code for Fleet railway station in Hampshire, England.
  • E. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LFE
Triple: [Erlang VM, programmingLanguage, LFE]
Generated description
LFE (Lisp Flavoured Erlang) is a Lisp dialect that runs on the Erlang virtual machine, combining Lisp syntax with Erlang’s concurrency and fault-tolerance features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LFE
Target entity description: LFE (Lisp Flavoured Erlang) is a Lisp dialect that runs on the Erlang virtual machine, combining Lisp syntax with Erlang’s concurrency and fault-tolerance features.
  • A. Elixir
    Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
  • B. LFLX
    LFLX is the ICAO airport code for Châteauroux-Centre "Marcel Dassault" Airport in central France, a facility known for cargo operations, aircraft maintenance, and pilot training.
  • C. LFO
    LFO is a pioneering British electronic music act known for helping define the early 1990s techno and bleep scene.
  • D. FLE
    FLE is the National Rail station code for Fleet railway station in Hampshire, England.
  • E. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a022323e2c08190b8a86b865a14dbbe completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a0225016e98819080af0ec2aa50aeb4 completed May 11, 2026, 6:50 p.m.
NED2 Entity disambiguation (via description) batch_6a0225751f188190bed9a57a26491122 completed May 11, 2026, 6:52 p.m.
Created at: April 10, 2026, 10 a.m.