Triple
T5924035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | elm-reactor |
E131760
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
elm-repl
elm-repl is an interactive command-line Read–Eval–Print Loop for the Elm programming language, used to quickly test and experiment with Elm code.
|
E554886
|
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: elm-repl | Statement: [elm-reactor, relatedTo, elm-repl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: elm-repl Context triple: [elm-reactor, relatedTo, elm-repl]
-
A.
elm-reactor
elm-reactor is a development tool for the Elm language that provides a local web server and live-reloading interface for quickly building and testing Elm applications.
-
B.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
C.
Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
D.
REPL (F# Interactive)
REPL (F# Interactive) is F#’s interactive read–eval–print loop environment that lets developers write, execute, and experiment with F# code in real time.
-
E.
BuckleScript
BuckleScript is a JavaScript backend and toolchain that compiles OCaml/ReasonML code into highly optimized, readable JavaScript for web and Node.js development.
- 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: elm-repl Triple: [elm-reactor, relatedTo, elm-repl]
Generated description
elm-repl is an interactive command-line Read–Eval–Print Loop for the Elm programming language, used to quickly test and experiment with Elm code.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: elm-repl Target entity description: elm-repl is an interactive command-line Read–Eval–Print Loop for the Elm programming language, used to quickly test and experiment with Elm code.
-
A.
elm-reactor
elm-reactor is a development tool for the Elm language that provides a local web server and live-reloading interface for quickly building and testing Elm applications.
-
B.
Elm
Elm is a civil parish and village in Cambridgeshire, England, known for its rural character and historic church.
-
C.
Elm
Elm is a statically typed, functional programming language that compiles to JavaScript and is designed for building reliable, maintainable web front-end applications.
-
D.
REPL (F# Interactive)
REPL (F# Interactive) is F#’s interactive read–eval–print loop environment that lets developers write, execute, and experiment with F# code in real time.
-
E.
BuckleScript
BuckleScript is a JavaScript backend and toolchain that compiles OCaml/ReasonML code into highly optimized, readable JavaScript for web and Node.js development.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03851189c819094524e8b5080545e |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0483e3481908e50f8b34b11a878 |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1442eb48190bc67c77764116b17 |
completed | March 23, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1c31b108190af16c66f6e8a4c25 |
completed | March 23, 2026, 4:29 a.m. |
Created at: March 22, 2026, 4 p.m.